diff --git "a/dataset_explore.ipynb" "b/dataset_explore.ipynb"
new file mode 100644--- /dev/null
+++ "b/dataset_explore.ipynb"
@@ -0,0 +1,3024 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "07076964",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "\n",
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+       "      <th>...</th>\n",
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+       "      <th>LastActivityDate</th>\n",
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+       "      <th>CommentCount</th>\n",
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+       "      <td>20256.0</td>\n",
+       "      <td>NaN</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>115.0</td>\n",
+       "      <td>&lt;p&gt;In &lt;a href=\"https://www.hybrid-analysis.com...</td>\n",
+       "      <td>26932.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1/2/2019 3:00</td>\n",
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+       "      <td>&lt;binary-analysis&gt;&lt;pe&gt;</td>\n",
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+       "      <td>1</td>\n",
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+       "      <td>NaN</td>\n",
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+       "      <td>875.0</td>\n",
+       "      <td>&lt;p&gt;I am trying to reverse engineer / research ...</td>\n",
+       "      <td>16407.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1/12/2019 22:14</td>\n",
+       "      <td>1/12/2019 22:14</td>\n",
+       "      <td>How to reverse engineer a Black Box?</td>\n",
+       "      <td>&lt;binary-analysis&gt;&lt;static-analysis&gt;&lt;exploit&gt;&lt;bi...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>CC BY-SA 4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>20255</td>\n",
+       "      <td>2</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4624.0</td>\n",
+       "      <td>1/1/2019 23:45</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>&lt;p&gt;According to &lt;a href=\"https://www.virqdroid...</td>\n",
+       "      <td>11890.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1/1/2019 23:45</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>CC BY-SA 4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>20256</td>\n",
+       "      <td>2</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>20253.0</td>\n",
+       "      <td>1/2/2019 3:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>&lt;p&gt;My guess is that the website is parsing the...</td>\n",
+       "      <td>26921.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1/2/2019 3:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>CC BY-SA 4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>20258</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1/2/2019 7:37</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2</td>\n",
+       "      <td>203.0</td>\n",
+       "      <td>&lt;blockquote&gt;\\n  &lt;p&gt;Why does -A (aaa) analysis ...</td>\n",
+       "      <td>25753.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1/6/2019 20:08</td>\n",
+       "      <td>Why does -A (aaa) analysis show much more info...</td>\n",
+       "      <td>&lt;disassembly&gt;&lt;debugging&gt;&lt;radare2&gt;&lt;static-analy...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>CC BY-SA 4.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Id  PostTypeId  AcceptedAnswerId  ParentId    CreationDate  \\\n",
+       "0  20253           1           20256.0       NaN  1/1/2019 20:21   \n",
+       "1  20254           1               NaN       NaN  1/1/2019 22:38   \n",
+       "2  20255           2               NaN    4624.0  1/1/2019 23:45   \n",
+       "3  20256           2               NaN   20253.0   1/2/2019 3:00   \n",
+       "4  20258           1               NaN       NaN   1/2/2019 7:37   \n",
+       "\n",
+       "   DeletionDate  Score  ViewCount  \\\n",
+       "0           NaN      0      115.0   \n",
+       "1           NaN      2      875.0   \n",
+       "2           NaN      0        NaN   \n",
+       "3           NaN      2        NaN   \n",
+       "4           NaN      2      203.0   \n",
+       "\n",
+       "                                                Body  OwnerUserId  ...  \\\n",
+       "0  <p>In <a href=\"https://www.hybrid-analysis.com...      26932.0  ...   \n",
+       "1  <p>I am trying to reverse engineer / research ...      16407.0  ...   \n",
+       "2  <p>According to <a href=\"https://www.virqdroid...      11890.0  ...   \n",
+       "3  <p>My guess is that the website is parsing the...      26921.0  ...   \n",
+       "4  <blockquote>\\n  <p>Why does -A (aaa) analysis ...      25753.0  ...   \n",
+       "\n",
+       "      LastEditDate  LastActivityDate  \\\n",
+       "0              NaN     1/2/2019 3:00   \n",
+       "1  1/12/2019 22:14   1/12/2019 22:14   \n",
+       "2              NaN    1/1/2019 23:45   \n",
+       "3              NaN     1/2/2019 3:00   \n",
+       "4              NaN    1/6/2019 20:08   \n",
+       "\n",
+       "                                               Title  \\\n",
+       "0  How to determine number and/or boundaries of l...   \n",
+       "1               How to reverse engineer a Black Box?   \n",
+       "2                                                NaN   \n",
+       "3                                                NaN   \n",
+       "4  Why does -A (aaa) analysis show much more info...   \n",
+       "\n",
+       "                                                Tags AnswerCount CommentCount  \\\n",
+       "0                              <binary-analysis><pe>         1.0            0   \n",
+       "1  <binary-analysis><static-analysis><exploit><bi...         1.0            0   \n",
+       "2                                                NaN         NaN            0   \n",
+       "3                                                NaN         NaN            2   \n",
+       "4  <disassembly><debugging><radare2><static-analy...         1.0            0   \n",
+       "\n",
+       "  FavoriteCount  ClosedDate  CommunityOwnedDate  ContentLicense  \n",
+       "0           NaN         NaN                 NaN    CC BY-SA 4.0  \n",
+       "1           NaN         NaN                 NaN    CC BY-SA 4.0  \n",
+       "2           NaN         NaN                 NaN    CC BY-SA 4.0  \n",
+       "3           NaN         NaN                 NaN    CC BY-SA 4.0  \n",
+       "4           NaN         NaN                 NaN    CC BY-SA 4.0  \n",
+       "\n",
+       "[5 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# Read the CSV file into a DataFrame\n",
+    "file_path = \"/home/darth/#/SEClassifier/data/RE/RE Q&A 2019.csv\"\n",
+    "df = pd.read_csv(file_path)\n",
+    "\n",
+    "# Display the first few rows of the DataFrame\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "4e13198f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Body</th>\n",
+       "      <th>Title</th>\n",
+       "      <th>Tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>&lt;p&gt;The usual way to implement this would be to...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>&lt;p&gt;&lt;em&gt;Disclosure: I am a product manager on G...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>&lt;blockquote&gt;\\n&lt;p&gt;Will it lead to some machine ...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>&lt;p&gt;The basis of my question is that a CNN that...</td>\n",
+       "      <td>Is one big network faster than several small o...</td>\n",
+       "      <td>&lt;deep-learning&gt;&lt;convolutional-neural-networks&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>&lt;p&gt;Say I have 500 variables and I believe thos...</td>\n",
+       "      <td>Does it make sense to train an autoencoder usi...</td>\n",
+       "      <td>&lt;neural-networks&gt;&lt;unsupervised-learning&gt;</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                Body  \\\n",
+       "0  <p>The usual way to implement this would be to...   \n",
+       "1  <p><em>Disclosure: I am a product manager on G...   \n",
+       "2  <blockquote>\\n<p>Will it lead to some machine ...   \n",
+       "3  <p>The basis of my question is that a CNN that...   \n",
+       "4  <p>Say I have 500 variables and I believe thos...   \n",
+       "\n",
+       "                                               Title  \\\n",
+       "0                                                NaN   \n",
+       "1                                                NaN   \n",
+       "2                                                NaN   \n",
+       "3  Is one big network faster than several small o...   \n",
+       "4  Does it make sense to train an autoencoder usi...   \n",
+       "\n",
+       "                                             Tags  \n",
+       "0                                             NaN  \n",
+       "1                                             NaN  \n",
+       "2                                             NaN  \n",
+       "3  <deep-learning><convolutional-neural-networks>  \n",
+       "4        <neural-networks><unsupervised-learning>  "
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_df = df[['Body', 'Title', 'Tags']]\n",
+    "new_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "46182263",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2784"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(new_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "8fd80c8c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Body</th>\n",
+       "      <th>Title</th>\n",
+       "      <th>Tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>&lt;p&gt;The basis of my question is that a CNN that...</td>\n",
+       "      <td>Is one big network faster than several small o...</td>\n",
+       "      <td>&lt;deep-learning&gt;&lt;convolutional-neural-networks&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>&lt;p&gt;Say I have 500 variables and I believe thos...</td>\n",
+       "      <td>Does it make sense to train an autoencoder usi...</td>\n",
+       "      <td>&lt;neural-networks&gt;&lt;unsupervised-learning&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>&lt;p&gt;I've seen data sets for classification / re...</td>\n",
+       "      <td>How would you encode your input vector/matrix ...</td>\n",
+       "      <td>&lt;deep-learning&gt;&lt;ai-design&gt;&lt;training&gt;&lt;combinato...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>&lt;p&gt;Suppose I have a classification problem wit...</td>\n",
+       "      <td>Creating a classifier for simpler classifiers ...</td>\n",
+       "      <td>&lt;machine-learning&gt;&lt;deep-learning&gt;&lt;classification&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>&lt;p&gt;I was wondering any examples of the followi...</td>\n",
+       "      <td>Para Generation and Drawing Conclusion from X ...</td>\n",
+       "      <td>&lt;machine-learning&gt;</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                 Body  \\\n",
+       "3   <p>The basis of my question is that a CNN that...   \n",
+       "4   <p>Say I have 500 variables and I believe thos...   \n",
+       "6   <p>I've seen data sets for classification / re...   \n",
+       "7   <p>Suppose I have a classification problem wit...   \n",
+       "10  <p>I was wondering any examples of the followi...   \n",
+       "\n",
+       "                                                Title  \\\n",
+       "3   Is one big network faster than several small o...   \n",
+       "4   Does it make sense to train an autoencoder usi...   \n",
+       "6   How would you encode your input vector/matrix ...   \n",
+       "7   Creating a classifier for simpler classifiers ...   \n",
+       "10  Para Generation and Drawing Conclusion from X ...   \n",
+       "\n",
+       "                                                 Tags  \n",
+       "3      <deep-learning><convolutional-neural-networks>  \n",
+       "4            <neural-networks><unsupervised-learning>  \n",
+       "6   <deep-learning><ai-design><training><combinato...  \n",
+       "7   <machine-learning><deep-learning><classification>  \n",
+       "10                                 <machine-learning>  "
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_df = new_df.dropna(subset=['Tags'])\n",
+    "new_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "fb01769f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Body     0\n",
+       "Title    0\n",
+       "Tags     0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_df.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "dfecd90b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Body</th>\n",
+       "      <th>Title</th>\n",
+       "      <th>Tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>&lt;p&gt;The basis of my question is that a CNN that...</td>\n",
+       "      <td>Is one big network faster than several small o...</td>\n",
+       "      <td>[deep-learning, convolutional-neural-networks]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>&lt;p&gt;Say I have 500 variables and I believe thos...</td>\n",
+       "      <td>Does it make sense to train an autoencoder usi...</td>\n",
+       "      <td>[neural-networks, unsupervised-learning]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>&lt;p&gt;I've seen data sets for classification / re...</td>\n",
+       "      <td>How would you encode your input vector/matrix ...</td>\n",
+       "      <td>[deep-learning, ai-design, training, combinato...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>&lt;p&gt;Suppose I have a classification problem wit...</td>\n",
+       "      <td>Creating a classifier for simpler classifiers ...</td>\n",
+       "      <td>[machine-learning, deep-learning, classification]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>&lt;p&gt;I was wondering any examples of the followi...</td>\n",
+       "      <td>Para Generation and Drawing Conclusion from X ...</td>\n",
+       "      <td>[machine-learning]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                 Body  \\\n",
+       "3   <p>The basis of my question is that a CNN that...   \n",
+       "4   <p>Say I have 500 variables and I believe thos...   \n",
+       "6   <p>I've seen data sets for classification / re...   \n",
+       "7   <p>Suppose I have a classification problem wit...   \n",
+       "10  <p>I was wondering any examples of the followi...   \n",
+       "\n",
+       "                                                Title  \\\n",
+       "3   Is one big network faster than several small o...   \n",
+       "4   Does it make sense to train an autoencoder usi...   \n",
+       "6   How would you encode your input vector/matrix ...   \n",
+       "7   Creating a classifier for simpler classifiers ...   \n",
+       "10  Para Generation and Drawing Conclusion from X ...   \n",
+       "\n",
+       "                                                 Tags  \n",
+       "3      [deep-learning, convolutional-neural-networks]  \n",
+       "4            [neural-networks, unsupervised-learning]  \n",
+       "6   [deep-learning, ai-design, training, combinato...  \n",
+       "7   [machine-learning, deep-learning, classification]  \n",
+       "10                                 [machine-learning]  "
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# Example: if your current dataframe is new_df\n",
+    "def parse_tags(tag_string):\n",
+    "    return tag_string.strip('<>').split('><')\n",
+    "\n",
+    "new_df['Tags'] = new_df['Tags'].apply(parse_tags)\n",
+    "\n",
+    "# Now each entry in the Tags column is a list of tags!\n",
+    "new_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "770ecc05",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total unique tags: 494\n",
+      "Unique tags: {'graph-theory', 'decision-theory', 'probability', 'feature-maps', 'homework', 'labels', 'finite-markov-decision-process', 'reward-normalization', 'convergence', 'test-datasets', 'meta-learning', 'text-generation', 'naive-bayes', 'legal', 'image-generation', 'relu', 'evaluation-functions', 'machine-translation', 'reward-to-go', 'forward-pass', 'poker', 'expert-systems', 'random-variable', 'target-network', 'self-replicating-machines', 'apprenticeship-learning', 'weights', 'potential-reward-shaping', 'selection-operators', 'java', 'collision-avoidance', 'books', 'discount-factor', 'fuzzy-logic', 'artificial-consciousness', 'feedforward-neural-networks', 'variational-autoencoder', 'genetic-programming', 'natural-language-understanding', 'reward-functions', 'combinatorics', 'computational-complexity', 'linear-algebra', 'crossover-operators', 'neural-networks', 'value-alignment', 'multiclass-classification', 'stochastic-gradient-descent', 'multilayer-perceptrons', 'symbolic-ai', 'encoder-decoder', 'continuous-state-spaces', 'active-learning', 'anomaly-detection', 'id3-algorithm', 'action-spaces', 'jaccard-similarity', 'fitness-functions', 'capsule-neural-network', 'statistics', 'learning-algorithms', 'problem-solving', 'chat-bots', 'automated-reasoning', 'self-organizing-map', 'autoencoders', 'definitions', 'training', 'hyperparameter-optimization', 'training-datasets', 'adversarial-ml', 'chinese-room-argument', 'video-classification', 'probabilistic-graphical-models', 'genetic-algorithms', 'hill-climbing', 'optimization', 'affective-computing', 'channel', 'bounding-box', 'reinforcement-learning', 'agi', 'cross-entropy', 'off-policy-methods', 'generative-adversarial-networks', 'alexnet', 'double-dqn', 'architecture', 'art-aesthetics', 'neuromorphic-engineering', 'mapping-space', 'adversarial-attacks', 'google-translate', 'recurrent-neural-networks', 'novelty-search', 'long-short-term-memory', 'state-representations', 'filters', 'multi-action-rl', 'feature-selection', 'speech-synthesis', 'informed-search', 'bag-of-words', 'neurosymbolic-ai', 'validation', 'pooling', 'echo-state-network', 'cognitive-science', 'singularity', 'geometric-deep-learning', 'graphs', 'data-science', 'imperfect-information', 'automated-theorem-proving', 'javascript', 'stride', 'randomness', 'getting-started', 'computer-vision', 'knowledge-representation', 'biology', 'backpropagation', 'datasets', 'deep-neural-networks', 'validation-datasets', 'iris-dataset', 'neuroevolution', 'k-means', 'uncertainty-quantification', 'importance-sampling', 'tf-idf', 'multi-label-classification', 'word2vec', 'time', 'object-recognition', 'language-model', 'expectation', 'probabilistic-machine-learning', 'multi-armed-bandits', 'q-learning', 'ai-milestones', 'proximal-policy-optimization', 'data-augmentation', 'control-problem', 'continuous-tasks', 'support-vector-machine', 'random-forests', 'neo-luddism', 'human-activity-recognition', 'topology', 'online-learning', 'philosophy', 'hyper-parameters', 'deepmind', 'emotional-intelligence', 'features', 'data-visualization', 'ai-field', 'ai-completeness', 'testing', 'imbalanced-datasets', 'goal-based-agents', 'yolo', 'evolutionary-computation', 'history', 'computational-linguistics', 'digital-rights', 'advantage-actor-critic', 'liquid-state-machine', 'complexity-theory', 'computational-learning-theory', 'semi-supervised-learning', 'performance', 'learning-rate', 'pddl', 'tree-search', 'monte-carlo-tree-search', 'capacity', 'self-supervised-learning', 'general-problem-solver', 'dynamic-programming', 'dempster-shafer-theory', 'stationary-policy', 'genetic-operators', 'reinforce', 'calculus', 'swarm-intelligence', 'path-planning', 'supervised-learning', 'handwritten-characters', 'discriminator', 'programming-languages', 'rationality', 'c++', 'linear-programming', 'signal-processing', 'voice-recognition', 'python', 'linear-regression', 'simulated-annealing', 'perceptron', 'self-play', 'bert', 'bayesian-networks', 'mean-squared-error', 'batch-size', 'on-policy-methods', 'ai-design', 'structured-data', 'codon', 'hierarchical-rl', 'explainable-ai', 'algorithm-request', 'catastrophic-forgetting', 'fine-tuning', 'network-design', 'automated-machine-learning', 'continuous-action-spaces', 'storage', 'uniform-cost-search', 'combinatorial-games', 'fully-convolutional-networks', 'theory-of-computation', 'prediction', 'tic-tac-toe', 'experience-replay', 'neat', 'checkers', 'matlab', 'open-ai', 'hopfield-network', 'binary-classification', 'game-ai', 'sigmoid', 'dropout', 'u-net', 'optical-character-recognition', 'algorithmic-bias', 'depth-first-search', 'weight-normalization', 'return', 'hardware-evaluation', 'greedy-policy', 'keras', 'opencv', 'exploration-strategies', 'semi-mdp', 'neuroscience', 'board-games', 'reward-design', 'hindsight-experience-replay', 'model-request', 'academia', 'weights-initialization', 'convolutional-layers', 'learning-agents', 'survival', 'ant-colony-optimization', 'clustering', '2d-convolution', 'emotion-recognition', 'vgg', 'unsupervised-learning', 'probability-theory', 'evolutionary-algorithms', 'local-search', 'terminology', 'transfer-learning', 'turing-test', 'unlabeled-datasets', 'atari-games', 'asimovs-laws', 'recommender-system', 'blockchain', 'imitation-learning', 'actor-critic-methods', 'latent-variable', 'elu', 'artificial-neuron', 'self-awareness', 'applications', 'math', 'categorical-data', 'alpha-beta-pruning', 'a-star', 'data-preprocessing', 'principal-component-analysis', 'bayesian-statistics', 'resource-request', 'reasoning', 'neurons', 'breadth-first-search', 'transition-model', 'convolution', 'search', 'intelligent-personal-assistants', 'reward-shaping', 'trust-region-policy-optimization', 'embodied-cognition', 'memory', 'cycle-gan', 'natural-language-processing', 'logistic-regression', 'regularization', 'mini-batch-gradient-descent', 'education', 'environment', 'multi-agent-systems', 'human-inspired', 'reward-clipping', 'regression', 'probability-distribution', 'text-detection', 'embeddings', 'tensorflow', 'time-series', 'minimax', 'time-complexity', 'autonomous-vehicles', 'pytorch', 'alphago', 'policy-gradients', 'ontology', 'deep-learning', 'sophia', 'topic-model', 'representation-learning', 'quiescence-search', 'discrete-action-spaces', 'iddfs', 'gpu', 'numerical-algorithms', 'contextual-bandits', 'grammatical-evolution', 'maximum-likelihood', 'metric', 'fitness-design', 'object-detection', 'google', 'norvig-russell', 'facenet', 'ai-security', 'graph-search', 'intelligence', 'proofs', 'ai-basics', 'generative-model', 'residual-networks', 'pattern-recognition', 'deepfakes', 'gated-recurrent-unit', 'prolog', 'boltzmann-machine', 'text-summarization', 'single-shot-multibox-detector', 'value-functions', 'bias-variance-tradeoff', 'comparison', 'bellman-equations', 'lisp', 'data-compression', 'incomplete-information', 'statistical-ai', 'function-approximation', 'reference-request', 'adversarial-search', 'monte-carlo-methods', 'hidden-layers', 'xor-problem', 'intelligent-agent', 'word-embedding', 'transformer', 'gradient', 'pomdp', 'brain', 'go', 'models', 'visual-place-recognition', 'restricted-boltzmann-machine', 'action-recognition', 'gym', 'particle-swarm-optimization', 'cross-validation', 'value-iteration', 'sse', 'ida-star', 'facial-recognition', 'feature-extraction', 'sentiment-analysis', 'ensemble-learning', 'genes', 'chess', 'image-recognition', 'benchmarks', 'credit-assignment-problem', 'dqn', 'uninformed-search', 'image-segmentation', 'connect-four', 'mutation-operators', 'delayed-rewards', 'superintelligence', 'best-first-search', 'papers', 'software-evaluation', 'activation-functions', 'path-finding', 'gradient-descent', 'incremental-learning', 'efficiency', 'gpt', 'social', 'notation', 'image-super-resolution', 'admissible-heuristic', 'intelligence-testing', 'sample-efficiency', 'convolution-arithmetic', 'ai-safety', 'd3qn', 'dimensionality', 'semantics', 'decision-trees', 'bayes-theorem', 'sutton-barto', 'machine-learning', '8-queens-problem', 'forecasting', 'automation', 'policies', 'state-spaces', 'batch-normalization', 'state-of-the-art', 'thompson-sampling', 'audio-processing', 'rewards', 'objective-functions', 'constrained-optimization', 'game-theory', 'convolutional-neural-networks', 'human-like', 'a3c', 'optimal-policy', 'philosophy-of-mind', 'question-answering', 'artificial-life', 'hypothesis-class', 'conditional-random-field', 'fourier-transform', 'algorithm', 'research', 'classification', 'inception', 'deep-rl', 'meta-heuristics', 'robotics', 'constraint-satisfaction-problems', 'similarity', 'sequence-modeling', 'risk-management', 'logic', 'utility-based-agents', 'receptive-field', 'l2-regularization', 'inductive-programming', 'bayesian-probability', 'robots', '3d-convolution', 'heuristics', 'overfitting', 'mythology-of-ai', 'profession', 'generalization', 'simple-reflex-agents', 'data-labelling', 'computational-theory-of-mind', 'standardisation', 'planning', 'alphazero', 'r', 'momentum', 'text-classification', 'ethics', 'ddpg', 'gaming', 'real-time', 'inductive-bias', 'alphago-zero', 'markov-decision-process', 'inference', 'hardware', 'episodic-tasks', 'implementation', 'branching-factors'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Flatten all tag lists and convert to a set to get unique tags\n",
+    "unique_tags = set(tag for tags in new_df['Tags'] for tag in tags)\n",
+    "\n",
+    "# Total number of unique tags\n",
+    "num_unique_tags = len(unique_tags)\n",
+    "\n",
+    "print(\"Total unique tags:\", num_unique_tags)\n",
+    "print(\"Unique tags:\", unique_tags)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "54183670",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Body</th>\n",
+       "      <th>Title</th>\n",
+       "      <th>Tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>&lt;p&gt;I want to create a NHL game predictor and h...</td>\n",
+       "      <td>is it possible to train several Neural Network...</td>\n",
+       "      <td>[neural-networks, deep-learning, data-science]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>&lt;p&gt;I'm currently working on a regression probl...</td>\n",
+       "      <td>Does the correlation between inputs affect the...</td>\n",
+       "      <td>[machine-learning, linear-regression, statisti...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>&lt;p&gt;I’m a researcher and I’m currently conducti...</td>\n",
+       "      <td>Chatbots triggering emotions</td>\n",
+       "      <td>[intelligent-agent, chat-bots, emotional-intel...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>&lt;p&gt;I understand the minimax algorithm, but I a...</td>\n",
+       "      <td>Can someone help me to understand the alpha-be...</td>\n",
+       "      <td>[search, minimax, alpha-beta-pruning]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>&lt;p&gt;In &lt;a href=\"https://storage.googleapis.com/...</td>\n",
+       "      <td>What is a high dimensional state in reinforcem...</td>\n",
+       "      <td>[reinforcement-learning, q-learning, dqn, term...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                Body  \\\n",
+       "0  <p>I want to create a NHL game predictor and h...   \n",
+       "1  <p>I'm currently working on a regression probl...   \n",
+       "2  <p>I’m a researcher and I’m currently conducti...   \n",
+       "3  <p>I understand the minimax algorithm, but I a...   \n",
+       "4  <p>In <a href=\"https://storage.googleapis.com/...   \n",
+       "\n",
+       "                                               Title  \\\n",
+       "0  is it possible to train several Neural Network...   \n",
+       "1  Does the correlation between inputs affect the...   \n",
+       "2                       Chatbots triggering emotions   \n",
+       "3  Can someone help me to understand the alpha-be...   \n",
+       "4  What is a high dimensional state in reinforcem...   \n",
+       "\n",
+       "                                                Tags  \n",
+       "0     [neural-networks, deep-learning, data-science]  \n",
+       "1  [machine-learning, linear-regression, statisti...  \n",
+       "2  [intelligent-agent, chat-bots, emotional-intel...  \n",
+       "3              [search, minimax, alpha-beta-pruning]  \n",
+       "4  [reinforcement-learning, q-learning, dqn, term...  "
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# List of file paths for the additional CSV files\n",
+    "file_paths = [\n",
+    "    \"/home/darth/#/SEClassifier/data/AI/AIQ&A 2019.csv\",\n",
+    "    \"/home/darth/#/SEClassifier/data/AI/AIQ&A 2020.csv\",\n",
+    "    \"/home/darth/#/SEClassifier/data/AI/AIQ&A 2021.csv\",\n",
+    "    \"/home/darth/#/SEClassifier/data/AI/AIQ&A 2018.csv\"\n",
+    "]\n",
+    "\n",
+    "# Initialize a list to store processed DataFrames\n",
+    "dataframes = []\n",
+    "\n",
+    "# Process each file\n",
+    "for path in file_paths:\n",
+    "    # Read the CSV file\n",
+    "    temp_df = pd.read_csv(path)\n",
+    "    \n",
+    "    # Select relevant columns\n",
+    "    temp_new_df = temp_df[['Body', 'Title', 'Tags']]\n",
+    "    \n",
+    "    # Drop rows with missing Tags\n",
+    "    temp_new_df = temp_new_df.dropna(subset=['Tags'])\n",
+    "    \n",
+    "    # Parse the Tags column\n",
+    "    temp_new_df['Tags'] = temp_new_df['Tags'].apply(parse_tags)\n",
+    "    \n",
+    "    # Append the processed DataFrame to the list\n",
+    "    dataframes.append(temp_new_df)\n",
+    "\n",
+    "# Merge all DataFrames\n",
+    "merged_df = pd.concat(dataframes, ignore_index=True)\n",
+    "\n",
+    "# Display the merged DataFrame\n",
+    "merged_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "e27629f4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "7778"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(merged_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "3973799e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Body</th>\n",
+       "      <th>Title</th>\n",
+       "      <th>Tags</th>\n",
+       "      <th>Input</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>&lt;p&gt;The basis of my question is that a CNN that...</td>\n",
+       "      <td>Is one big network faster than several small o...</td>\n",
+       "      <td>[deep-learning, convolutional-neural-networks]</td>\n",
+       "      <td>Body: &lt;p&gt;The basis of my question is that a CN...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>&lt;p&gt;Say I have 500 variables and I believe thos...</td>\n",
+       "      <td>Does it make sense to train an autoencoder usi...</td>\n",
+       "      <td>[neural-networks, unsupervised-learning]</td>\n",
+       "      <td>Body: &lt;p&gt;Say I have 500 variables and I believ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>&lt;p&gt;I've seen data sets for classification / re...</td>\n",
+       "      <td>How would you encode your input vector/matrix ...</td>\n",
+       "      <td>[deep-learning, ai-design, training, combinato...</td>\n",
+       "      <td>Body: &lt;p&gt;I've seen data sets for classificatio...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>&lt;p&gt;Suppose I have a classification problem wit...</td>\n",
+       "      <td>Creating a classifier for simpler classifiers ...</td>\n",
+       "      <td>[machine-learning, deep-learning, classification]</td>\n",
+       "      <td>Body: &lt;p&gt;Suppose I have a classification probl...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>&lt;p&gt;I was wondering any examples of the followi...</td>\n",
+       "      <td>Para Generation and Drawing Conclusion from X ...</td>\n",
+       "      <td>[machine-learning]</td>\n",
+       "      <td>Body: &lt;p&gt;I was wondering any examples of the f...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                Body  \\\n",
+       "0  <p>The basis of my question is that a CNN that...   \n",
+       "1  <p>Say I have 500 variables and I believe thos...   \n",
+       "2  <p>I've seen data sets for classification / re...   \n",
+       "3  <p>Suppose I have a classification problem wit...   \n",
+       "4  <p>I was wondering any examples of the followi...   \n",
+       "\n",
+       "                                               Title  \\\n",
+       "0  Is one big network faster than several small o...   \n",
+       "1  Does it make sense to train an autoencoder usi...   \n",
+       "2  How would you encode your input vector/matrix ...   \n",
+       "3  Creating a classifier for simpler classifiers ...   \n",
+       "4  Para Generation and Drawing Conclusion from X ...   \n",
+       "\n",
+       "                                                Tags  \\\n",
+       "0     [deep-learning, convolutional-neural-networks]   \n",
+       "1           [neural-networks, unsupervised-learning]   \n",
+       "2  [deep-learning, ai-design, training, combinato...   \n",
+       "3  [machine-learning, deep-learning, classification]   \n",
+       "4                                 [machine-learning]   \n",
+       "\n",
+       "                                               Input  \n",
+       "0  Body: <p>The basis of my question is that a CN...  \n",
+       "1  Body: <p>Say I have 500 variables and I believ...  \n",
+       "2  Body: <p>I've seen data sets for classificatio...  \n",
+       "3  Body: <p>Suppose I have a classification probl...  \n",
+       "4  Body: <p>I was wondering any examples of the f...  "
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "merged_df['Input'] = \"Body: \" + merged_df['Body'] + \" Title: \" + merged_df['Title']\n",
+    "merged_df.head()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "411d2d03",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Body</th>\n",
+       "      <th>Title</th>\n",
+       "      <th>Tags</th>\n",
+       "      <th>Input</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>&lt;p&gt;The basis of my question is that a CNN that...</td>\n",
+       "      <td>Is one big network faster than several small o...</td>\n",
+       "      <td>[deep-learning, convolutional-neural-networks]</td>\n",
+       "      <td>Body: The basis of my question is that a CNN t...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>&lt;p&gt;Say I have 500 variables and I believe thos...</td>\n",
+       "      <td>Does it make sense to train an autoencoder usi...</td>\n",
+       "      <td>[neural-networks, unsupervised-learning]</td>\n",
+       "      <td>Body: Say I have 500 variables and I believe t...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>&lt;p&gt;I've seen data sets for classification / re...</td>\n",
+       "      <td>How would you encode your input vector/matrix ...</td>\n",
+       "      <td>[deep-learning, ai-design, training, combinato...</td>\n",
+       "      <td>Body: I've seen data sets for classification /...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>&lt;p&gt;Suppose I have a classification problem wit...</td>\n",
+       "      <td>Creating a classifier for simpler classifiers ...</td>\n",
+       "      <td>[machine-learning, deep-learning, classification]</td>\n",
+       "      <td>Body: Suppose I have a classification problem ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>&lt;p&gt;I was wondering any examples of the followi...</td>\n",
+       "      <td>Para Generation and Drawing Conclusion from X ...</td>\n",
+       "      <td>[machine-learning]</td>\n",
+       "      <td>Body: I was wondering any examples of the foll...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                Body  \\\n",
+       "0  <p>The basis of my question is that a CNN that...   \n",
+       "1  <p>Say I have 500 variables and I believe thos...   \n",
+       "2  <p>I've seen data sets for classification / re...   \n",
+       "3  <p>Suppose I have a classification problem wit...   \n",
+       "4  <p>I was wondering any examples of the followi...   \n",
+       "\n",
+       "                                               Title  \\\n",
+       "0  Is one big network faster than several small o...   \n",
+       "1  Does it make sense to train an autoencoder usi...   \n",
+       "2  How would you encode your input vector/matrix ...   \n",
+       "3  Creating a classifier for simpler classifiers ...   \n",
+       "4  Para Generation and Drawing Conclusion from X ...   \n",
+       "\n",
+       "                                                Tags  \\\n",
+       "0     [deep-learning, convolutional-neural-networks]   \n",
+       "1           [neural-networks, unsupervised-learning]   \n",
+       "2  [deep-learning, ai-design, training, combinato...   \n",
+       "3  [machine-learning, deep-learning, classification]   \n",
+       "4                                 [machine-learning]   \n",
+       "\n",
+       "                                               Input  \n",
+       "0  Body: The basis of my question is that a CNN t...  \n",
+       "1  Body: Say I have 500 variables and I believe t...  \n",
+       "2  Body: I've seen data sets for classification /...  \n",
+       "3  Body: Suppose I have a classification problem ...  \n",
+       "4  Body: I was wondering any examples of the foll...  "
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import re\n",
+    "\n",
+    "# Remove <p> tags from the Input column\n",
+    "merged_df['Input'] = merged_df['Input'].apply(lambda x: re.sub(r'<\\/?p>', '', x))\n",
+    "\n",
+    "# Display the updated DataFrame\n",
+    "merged_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "dba66933",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Tags</th>\n",
+       "      <th>Input</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>[javascript]</td>\n",
+       "      <td>Title: Technology like SignalR but client sid...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>[design, design-patterns, object-oriented-desi...</td>\n",
+       "      <td>Title: Is there a design pattern to remove th...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>[design-patterns, builder-pattern]</td>\n",
+       "      <td>Title: Builder Pattern : Seperation of constr...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>[java, frameworks]</td>\n",
+       "      <td>Title: Automatic DowncastingBody: I'm making ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>[object-oriented, python, dependency-injection...</td>\n",
+       "      <td>Title: Using Python's Method Resolution Order...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                Tags  \\\n",
+       "0                                       [javascript]   \n",
+       "1  [design, design-patterns, object-oriented-desi...   \n",
+       "2                 [design-patterns, builder-pattern]   \n",
+       "3                                 [java, frameworks]   \n",
+       "4  [object-oriented, python, dependency-injection...   \n",
+       "\n",
+       "                                               Input  \n",
+       "0   Title: Technology like SignalR but client sid...  \n",
+       "1   Title: Is there a design pattern to remove th...  \n",
+       "2   Title: Builder Pattern : Seperation of constr...  \n",
+       "3   Title: Automatic DowncastingBody: I'm making ...  \n",
+       "4   Title: Using Python's Method Resolution Order...  "
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import re\n",
+    "\n",
+    "def process_csv_files(file_paths):\n",
+    "    \"\"\"\n",
+    "    Process multiple CSV files, clean the data, parse tags, and merge into a single DataFrame.\n",
+    "\n",
+    "    Args:\n",
+    "        file_paths (list): List of file paths to CSV files.\n",
+    "\n",
+    "    Returns:\n",
+    "        pd.DataFrame: Merged and processed DataFrame.\n",
+    "    \"\"\"\n",
+    "    def parse_tags(tag_string):\n",
+    "        \"\"\"Parse the Tags column into a list of tags.\"\"\"\n",
+    "        return tag_string.strip('<>').split('><')\n",
+    "\n",
+    "    # Initialize a list to store processed DataFrames\n",
+    "    dataframes = []\n",
+    "\n",
+    "    # Process each file\n",
+    "    for path in file_paths:\n",
+    "        # Read the CSV file\n",
+    "        temp_df = pd.read_csv(path)\n",
+    "        \n",
+    "        # Select relevant columns\n",
+    "        temp_new_df = temp_df[['Body', 'Title', 'Tags']]\n",
+    "        \n",
+    "        # Drop rows with missing Tags\n",
+    "        temp_new_df = temp_new_df.dropna(subset=['Tags'])\n",
+    "        \n",
+    "        # Parse the Tags column\n",
+    "        temp_new_df['Tags'] = temp_new_df['Tags'].apply(parse_tags)\n",
+    "        \n",
+    "        # Append the processed DataFrame to the list\n",
+    "        dataframes.append(temp_new_df)\n",
+    "\n",
+    "    # Merge all DataFrames\n",
+    "    merged_df = pd.concat(dataframes, ignore_index=True)\n",
+    "\n",
+    "    # Add an 'Input' column combining 'Body' and 'Title'\n",
+    "    merged_df['Input'] = \" Title: \" + merged_df['Title'] + \"Body: \" + merged_df['Body']\n",
+    "\n",
+    "    # Remove <p> tags from the 'Input' column\n",
+    "    merged_df['Input'] = merged_df['Input'].apply(lambda x: re.sub(r'<\\/?p>', '', x))\n",
+    "\n",
+    "    final_df = merged_df.drop(columns=['Body', 'Title'])\n",
+    "\n",
+    "    # Optionally, you can reset the index if needed\n",
+    "    final_df.reset_index(drop=True, inplace=True)\n",
+    "\n",
+    "    return final_df\n",
+    "\n",
+    "# Example usage\n",
+    "file_paths = [\n",
+    "    \"/home/darth/#/SEClassifier/data/SE/SE 2016.csv\",\n",
+    "    \"/home/darth/#/SEClassifier/data/SE/SE 2017.csv\",\n",
+    "    \"/home/darth/#/SEClassifier/data/SE/SE 2018.csv\",\n",
+    "    \"/home/darth/#/SEClassifier/data/SE/SE 2019.csv\",\n",
+    "    \"/home/darth/#/SEClassifier/data/SE/SE 2020.csv\",\n",
+    "    \"/home/darth/#/SEClassifier/data/SE/SE 2021.csv\"\n",
+    "]\n",
+    "\n",
+    "merged_df = process_csv_files(file_paths)\n",
+    "merged_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "0a693ad0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "24842"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(merged_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "0b90c6c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "merged_df.to_csv(\"/home/darth/#/SEClassifier/data/SE/merged_data.csv\", index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "c17c6cc1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Tags</th>\n",
+       "      <th>Input</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>['neural-networks', 'deep-learning', 'data-sci...</td>\n",
+       "      <td>Title: is it possible to train several Neural...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>['machine-learning', 'linear-regression', 'sta...</td>\n",
+       "      <td>Title: Does the correlation between inputs af...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>['intelligent-agent', 'chat-bots', 'emotional-...</td>\n",
+       "      <td>Title: Chatbots triggering emotionsBody: I’m ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>['search', 'minimax', 'alpha-beta-pruning']</td>\n",
+       "      <td>Title: Can someone help me to understand the ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>['reinforcement-learning', 'q-learning', 'dqn'...</td>\n",
+       "      <td>Title: What is a high dimensional state in re...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                Tags  \\\n",
+       "0  ['neural-networks', 'deep-learning', 'data-sci...   \n",
+       "1  ['machine-learning', 'linear-regression', 'sta...   \n",
+       "2  ['intelligent-agent', 'chat-bots', 'emotional-...   \n",
+       "3        ['search', 'minimax', 'alpha-beta-pruning']   \n",
+       "4  ['reinforcement-learning', 'q-learning', 'dqn'...   \n",
+       "\n",
+       "                                               Input  \n",
+       "0   Title: is it possible to train several Neural...  \n",
+       "1   Title: Does the correlation between inputs af...  \n",
+       "2   Title: Chatbots triggering emotionsBody: I’m ...  \n",
+       "3   Title: Can someone help me to understand the ...  \n",
+       "4   Title: What is a high dimensional state in re...  "
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# List of file paths for the 5 CSV files\n",
+    "csv_files = [\n",
+    "    \"/home/darth/#/SEClassifier/data/AI/merged_data.csv\",\n",
+    "    \"/home/darth/#/SEClassifier/data/IS/merged_data.csv\",\n",
+    "    \"/home/darth/#/SEClassifier/data/QC/merged_data.csv\",\n",
+    "    \"/home/darth/#/SEClassifier/data/RE/merged_data.csv\",\n",
+    "    \"/home/darth/#/SEClassifier/data/SE/merged_data.csv\"\n",
+    "]\n",
+    "\n",
+    "# Read each CSV file into a DataFrame\n",
+    "dataframes = [pd.read_csv(file) for file in csv_files]\n",
+    "\n",
+    "# Concatenate the DataFrames horizontally\n",
+    "concatenated_df = pd.concat(dataframes, axis=0)\n",
+    "\n",
+    "# Display the concatenated DataFrame\n",
+    "concatenated_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "id": "8fcafa52",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "67402"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(concatenated_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "dd995fcc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "concatenated_df.to_csv(\"/home/darth/#/SEClassifier/data/combined_data.csv\", index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "id": "730fc695",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Id</th>\n",
+       "      <th>Title</th>\n",
+       "      <th>Body</th>\n",
+       "      <th>Tags</th>\n",
+       "      <th>CreationDate</th>\n",
+       "      <th>Y</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>34552656</td>\n",
+       "      <td>Java: Repeat Task Every Random Seconds</td>\n",
+       "      <td>&lt;p&gt;I'm already familiar with repeating tasks e...</td>\n",
+       "      <td>&lt;java&gt;&lt;repeat&gt;</td>\n",
+       "      <td>2016-01-01 00:21:59</td>\n",
+       "      <td>LQ_CLOSE</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>34553034</td>\n",
+       "      <td>Why are Java Optionals immutable?</td>\n",
+       "      <td>&lt;p&gt;I'd like to understand why Java 8 Optionals...</td>\n",
+       "      <td>&lt;java&gt;&lt;optional&gt;</td>\n",
+       "      <td>2016-01-01 02:03:20</td>\n",
+       "      <td>HQ</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>34553174</td>\n",
+       "      <td>Text Overlay Image with Darkened Opacity React...</td>\n",
+       "      <td>&lt;p&gt;I am attempting to overlay a title over an ...</td>\n",
+       "      <td>&lt;javascript&gt;&lt;image&gt;&lt;overlay&gt;&lt;react-native&gt;&lt;opa...</td>\n",
+       "      <td>2016-01-01 02:48:24</td>\n",
+       "      <td>HQ</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>34553318</td>\n",
+       "      <td>Why ternary operator in swift is so picky?</td>\n",
+       "      <td>&lt;p&gt;The question is very simple, but I just cou...</td>\n",
+       "      <td>&lt;swift&gt;&lt;operators&gt;&lt;whitespace&gt;&lt;ternary-operato...</td>\n",
+       "      <td>2016-01-01 03:30:17</td>\n",
+       "      <td>HQ</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>34553755</td>\n",
+       "      <td>hide/show fab with scale animation</td>\n",
+       "      <td>&lt;p&gt;I'm using custom floatingactionmenu. I need...</td>\n",
+       "      <td>&lt;android&gt;&lt;material-design&gt;&lt;floating-action-but...</td>\n",
+       "      <td>2016-01-01 05:21:48</td>\n",
+       "      <td>HQ</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Id                                              Title  \\\n",
+       "0  34552656             Java: Repeat Task Every Random Seconds   \n",
+       "1  34553034                  Why are Java Optionals immutable?   \n",
+       "2  34553174  Text Overlay Image with Darkened Opacity React...   \n",
+       "3  34553318         Why ternary operator in swift is so picky?   \n",
+       "4  34553755                 hide/show fab with scale animation   \n",
+       "\n",
+       "                                                Body  \\\n",
+       "0  <p>I'm already familiar with repeating tasks e...   \n",
+       "1  <p>I'd like to understand why Java 8 Optionals...   \n",
+       "2  <p>I am attempting to overlay a title over an ...   \n",
+       "3  <p>The question is very simple, but I just cou...   \n",
+       "4  <p>I'm using custom floatingactionmenu. I need...   \n",
+       "\n",
+       "                                                Tags         CreationDate  \\\n",
+       "0                                     <java><repeat>  2016-01-01 00:21:59   \n",
+       "1                                   <java><optional>  2016-01-01 02:03:20   \n",
+       "2  <javascript><image><overlay><react-native><opa...  2016-01-01 02:48:24   \n",
+       "3  <swift><operators><whitespace><ternary-operato...  2016-01-01 03:30:17   \n",
+       "4  <android><material-design><floating-action-but...  2016-01-01 05:21:48   \n",
+       "\n",
+       "          Y  \n",
+       "0  LQ_CLOSE  \n",
+       "1        HQ  \n",
+       "2        HQ  \n",
+       "3        HQ  \n",
+       "4        HQ  "
+      ]
+     },
+     "execution_count": 103,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train_df = pd.read_csv('/home/darth/#/SEClassifier/data/kaggle_stack_overflow/train.csv')\n",
+    "\n",
+    "# Display the first few rows of the DataFrame\n",
+    "train_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "id": "84a889c0",
+   "metadata": {
+    "vscode": {
+     "languageId": "ruby"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Input</th>\n",
+       "      <th>Tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Title: Java: Repeat Task Every Random Seconds...</td>\n",
+       "      <td>[java, repeat]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Title: Why are Java Optionals immutable?Body:...</td>\n",
+       "      <td>[java, optional]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Title: Text Overlay Image with Darkened Opaci...</td>\n",
+       "      <td>[javascript, image, overlay, react-native, opa...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Title: Why ternary operator in swift is so pi...</td>\n",
+       "      <td>[swift, operators, whitespace, ternary-operato...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Title: hide/show fab with scale animationBody...</td>\n",
+       "      <td>[android, material-design, floating-action-but...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                               Input  \\\n",
+       "0   Title: Java: Repeat Task Every Random Seconds...   \n",
+       "1   Title: Why are Java Optionals immutable?Body:...   \n",
+       "2   Title: Text Overlay Image with Darkened Opaci...   \n",
+       "3   Title: Why ternary operator in swift is so pi...   \n",
+       "4   Title: hide/show fab with scale animationBody...   \n",
+       "\n",
+       "                                                Tags  \n",
+       "0                                     [java, repeat]  \n",
+       "1                                   [java, optional]  \n",
+       "2  [javascript, image, overlay, react-native, opa...  \n",
+       "3  [swift, operators, whitespace, ternary-operato...  \n",
+       "4  [android, material-design, floating-action-but...  "
+      ]
+     },
+     "execution_count": 104,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train_df = train_df[['Tags', 'Title', 'Body']]\n",
+    "train_df['Input'] = \" Title: \" + train_df['Title'] + \"Body: \" + train_df['Body']\n",
+    "train_df = train_df[['Input', 'Tags']]\n",
+    "train_df['Tags'] = train_df['Tags'].apply(parse_tags)\n",
+    "train_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "id": "68fd6ba4",
+   "metadata": {
+    "vscode": {
+     "languageId": "ruby"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "train_df.to_csv('/home/darth/#/SEClassifier/data/kaggle_stack_overflow/train_data.csv', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "9389d17f",
+   "metadata": {
+    "vscode": {
+     "languageId": "ruby"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "064f6975",
+   "metadata": {
+    "vscode": {
+     "languageId": "ruby"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Input</th>\n",
+       "      <th>Tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Title: Java: Repeat Task Every Random Seconds...</td>\n",
+       "      <td>['java', 'repeat']</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Title: Why are Java Optionals immutable?Body:...</td>\n",
+       "      <td>['java', 'optional']</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Title: Text Overlay Image with Darkened Opaci...</td>\n",
+       "      <td>['javascript', 'image', 'overlay', 'react-nati...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Title: Why ternary operator in swift is so pi...</td>\n",
+       "      <td>['swift', 'operators', 'whitespace', 'ternary-...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Title: hide/show fab with scale animationBody...</td>\n",
+       "      <td>['android', 'material-design', 'floating-actio...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                               Input  \\\n",
+       "0   Title: Java: Repeat Task Every Random Seconds...   \n",
+       "1   Title: Why are Java Optionals immutable?Body:...   \n",
+       "2   Title: Text Overlay Image with Darkened Opaci...   \n",
+       "3   Title: Why ternary operator in swift is so pi...   \n",
+       "4   Title: hide/show fab with scale animationBody...   \n",
+       "\n",
+       "                                                Tags  \n",
+       "0                                 ['java', 'repeat']  \n",
+       "1                               ['java', 'optional']  \n",
+       "2  ['javascript', 'image', 'overlay', 'react-nati...  \n",
+       "3  ['swift', 'operators', 'whitespace', 'ternary-...  \n",
+       "4  ['android', 'material-design', 'floating-actio...  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Read the train and validation data CSV files\n",
+    "train_data = pd.read_csv('/home/darth/#/SEClassifier/data/kaggle_stack_overflow/train_data.csv')\n",
+    "valid_data = pd.read_csv('/home/darth/#/SEClassifier/data/kaggle_stack_overflow/valid_data.csv')\n",
+    "\n",
+    "# Combine the two DataFrames\n",
+    "combined_data = pd.concat([train_data, valid_data], ignore_index=True)\n",
+    "\n",
+    "# Display the combined DataFrame\n",
+    "combined_data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "7995a094",
+   "metadata": {
+    "vscode": {
+     "languageId": "ruby"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "60000"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(combined_data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "83d19586",
+   "metadata": {
+    "vscode": {
+     "languageId": "ruby"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "combined_data.to_csv('/home/darth/#/SEClassifier/data/kaggle_stack_overflow/combined_data.csv', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "880aff08",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>topic</th>\n",
+       "      <th>question</th>\n",
+       "      <th>excerpt</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>What is the effective differencial effective o...</td>\n",
+       "      <td>I'm trying to work out, in general terms, the ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Heat sensor with fan cooling</td>\n",
+       "      <td>Can I know which component senses heat or acts...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Outlet Installation--more wires than my new ou...</td>\n",
+       "      <td>I am replacing a wall outlet with a Cooper Wir...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Buck Converter Operation Question</td>\n",
+       "      <td>i have been reading about the buck converter, ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Urgent help in area of ASIC design, verificati...</td>\n",
+       "      <td>I need help with deciding on a Master's Projec...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20214</th>\n",
+       "      <td>wordpress</td>\n",
+       "      <td>How to set a Custom Post Type as the parent of...</td>\n",
+       "      <td>I have a Custom Post Type called Recipe with p...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20215</th>\n",
+       "      <td>wordpress</td>\n",
+       "      <td>Tracking last login and last visit</td>\n",
+       "      <td>I'm using the code below to track when a user ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20216</th>\n",
+       "      <td>wordpress</td>\n",
+       "      <td>How to exclude the particular category from th...</td>\n",
+       "      <td>add_action( 'pre_get_posts', 'custom_pre_get_p...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20217</th>\n",
+       "      <td>wordpress</td>\n",
+       "      <td>display sub categories assoccited with each po...</td>\n",
+       "      <td>i have wordpress blog with many posts. each po...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20218</th>\n",
+       "      <td>wordpress</td>\n",
+       "      <td>Lost of query parameter when using permalink</td>\n",
+       "      <td>I have many issues with the use of rewriting, ...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>20219 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             topic                                           question  \\\n",
+       "0      electronics  What is the effective differencial effective o...   \n",
+       "1      electronics                       Heat sensor with fan cooling   \n",
+       "2      electronics  Outlet Installation--more wires than my new ou...   \n",
+       "3      electronics                  Buck Converter Operation Question   \n",
+       "4      electronics  Urgent help in area of ASIC design, verificati...   \n",
+       "...            ...                                                ...   \n",
+       "20214    wordpress  How to set a Custom Post Type as the parent of...   \n",
+       "20215    wordpress                 Tracking last login and last visit   \n",
+       "20216    wordpress  How to exclude the particular category from th...   \n",
+       "20217    wordpress  display sub categories assoccited with each po...   \n",
+       "20218    wordpress       Lost of query parameter when using permalink   \n",
+       "\n",
+       "                                                 excerpt  \n",
+       "0      I'm trying to work out, in general terms, the ...  \n",
+       "1      Can I know which component senses heat or acts...  \n",
+       "2      I am replacing a wall outlet with a Cooper Wir...  \n",
+       "3      i have been reading about the buck converter, ...  \n",
+       "4      I need help with deciding on a Master's Projec...  \n",
+       "...                                                  ...  \n",
+       "20214  I have a Custom Post Type called Recipe with p...  \n",
+       "20215  I'm using the code below to track when a user ...  \n",
+       "20216  add_action( 'pre_get_posts', 'custom_pre_get_p...  \n",
+       "20217  i have wordpress blog with many posts. each po...  \n",
+       "20218  I have many issues with the use of rewriting, ...  \n",
+       "\n",
+       "[20219 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import json\n",
+    "\n",
+    "def load_data(path):\n",
+    "    with open(path, 'r') as file:\n",
+    "        data = file.read()\n",
+    "\n",
+    "    data = data.strip().split('\\n')\n",
+    "\n",
+    "    dataset = []\n",
+    "    for i in data:\n",
+    "        try:\n",
+    "            dataset.append(json.loads(i))\n",
+    "        except:\n",
+    "            print(i)\n",
+    "\n",
+    "    df = pd.DataFrame(dataset)\n",
+    "\n",
+    "    return df\n",
+    "\n",
+    "TRAIN = load_data('data/hackerank/train/train.json')\n",
+    "TRAIN\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "2c4bf84a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>question</th>\n",
+       "      <th>excerpt</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Frequency Inverter LS IS5</td>\n",
+       "      <td>I have been working with a IS5 frequency inver...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Why did the designer use this motor?</td>\n",
+       "      <td>I was taking apart this thing that I bought fr...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Help with amplifier with feedback</td>\n",
+       "      <td>I am starting to learn to use operational ampl...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Single Supply Op Amp to Amplify 0-3.3V to 0-10V</td>\n",
+       "      <td>This may be a very basic question but as the u...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>How to start with 3d tracking? [on hold]</td>\n",
+       "      <td>I am new to all of this and I really feel over...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15027</th>\n",
+       "      <td>Add exception to WP Mobile Detector</td>\n",
+       "      <td>In the function websitez_detect_mobile_device ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15028</th>\n",
+       "      <td>Query Problem in getting top viewed posts</td>\n",
+       "      <td>I wanted to display top viewed posts by month,...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15029</th>\n",
+       "      <td>Translate Woosidebars plugin strings</td>\n",
+       "      <td>I'm  trying to translate Woosidebars strings i...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15030</th>\n",
+       "      <td>Fatal error: Allowed memory size of 37748736 b...</td>\n",
+       "      <td>I hope this is not a duplicate question.\\n\\nI ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15031</th>\n",
+       "      <td>more tables created when create a new site</td>\n",
+       "      <td>Can someone suggest me an idea on this? \\n\\nI ...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>15032 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                question  \\\n",
+       "0                              Frequency Inverter LS IS5   \n",
+       "1                   Why did the designer use this motor?   \n",
+       "2                      Help with amplifier with feedback   \n",
+       "3        Single Supply Op Amp to Amplify 0-3.3V to 0-10V   \n",
+       "4               How to start with 3d tracking? [on hold]   \n",
+       "...                                                  ...   \n",
+       "15027                Add exception to WP Mobile Detector   \n",
+       "15028          Query Problem in getting top viewed posts   \n",
+       "15029               Translate Woosidebars plugin strings   \n",
+       "15030  Fatal error: Allowed memory size of 37748736 b...   \n",
+       "15031         more tables created when create a new site   \n",
+       "\n",
+       "                                                 excerpt  \n",
+       "0      I have been working with a IS5 frequency inver...  \n",
+       "1      I was taking apart this thing that I bought fr...  \n",
+       "2      I am starting to learn to use operational ampl...  \n",
+       "3      This may be a very basic question but as the u...  \n",
+       "4      I am new to all of this and I really feel over...  \n",
+       "...                                                  ...  \n",
+       "15027  In the function websitez_detect_mobile_device ...  \n",
+       "15028  I wanted to display top viewed posts by month,...  \n",
+       "15029  I'm  trying to translate Woosidebars strings i...  \n",
+       "15030  I hope this is not a duplicate question.\\n\\nI ...  \n",
+       "15031  Can someone suggest me an idea on this? \\n\\nI ...  \n",
+       "\n",
+       "[15032 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import json\n",
+    "\n",
+    "def load_data(path):\n",
+    "    with open(path, 'r') as file:\n",
+    "        data = file.read()\n",
+    "\n",
+    "    data = data.strip().split('\\n')\n",
+    "\n",
+    "    dataset = []\n",
+    "    for i in data:\n",
+    "        try:\n",
+    "            dataset.append(json.loads(i))\n",
+    "        except:\n",
+    "            print(i)\n",
+    "\n",
+    "    df = pd.DataFrame(dataset)\n",
+    "\n",
+    "    return df\n",
+    "\n",
+    "TEST = load_data('data/hackerank/test/test.json')\n",
+    "TEST\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "ccba1f17",
+   "metadata": {
+    "vscode": {
+     "languageId": "ruby"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>question</th>\n",
+       "      <th>excerpt</th>\n",
+       "      <th>topic</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Frequency Inverter LS IS5</td>\n",
+       "      <td>I have been working with a IS5 frequency inver...</td>\n",
+       "      <td>electronics</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Why did the designer use this motor?</td>\n",
+       "      <td>I was taking apart this thing that I bought fr...</td>\n",
+       "      <td>electronics</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Help with amplifier with feedback</td>\n",
+       "      <td>I am starting to learn to use operational ampl...</td>\n",
+       "      <td>electronics</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Single Supply Op Amp to Amplify 0-3.3V to 0-10V</td>\n",
+       "      <td>This may be a very basic question but as the u...</td>\n",
+       "      <td>electronics</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>How to start with 3d tracking? [on hold]</td>\n",
+       "      <td>I am new to all of this and I really feel over...</td>\n",
+       "      <td>electronics</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                          question  \\\n",
+       "0                        Frequency Inverter LS IS5   \n",
+       "1             Why did the designer use this motor?   \n",
+       "2                Help with amplifier with feedback   \n",
+       "3  Single Supply Op Amp to Amplify 0-3.3V to 0-10V   \n",
+       "4         How to start with 3d tracking? [on hold]   \n",
+       "\n",
+       "                                             excerpt        topic  \n",
+       "0  I have been working with a IS5 frequency inver...  electronics  \n",
+       "1  I was taking apart this thing that I bought fr...  electronics  \n",
+       "2  I am starting to learn to use operational ampl...  electronics  \n",
+       "3  This may be a very basic question but as the u...  electronics  \n",
+       "4  I am new to all of this and I really feel over...  electronics  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Read the output.txt file containing topics\n",
+    "with open('/home/darth/#/SEQuestionClassifier/data/hackerank/test/output.txt', 'r') as file:\n",
+    "    topics = file.read().strip().split('\\n')\n",
+    "\n",
+    "# Add the topics as a new column to the TEST dataframe\n",
+    "TEST['topic'] = topics\n",
+    "\n",
+    "# Display the updated TEST dataframe\n",
+    "TEST.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "9f99f6a5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>question</th>\n",
+       "      <th>excerpt</th>\n",
+       "      <th>topic</th>\n",
+       "      <th>Input</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Frequency Inverter LS IS5</td>\n",
+       "      <td>I have been working with a IS5 frequency inver...</td>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: Frequency Inverter LS IS5 Body: I have ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Why did the designer use this motor?</td>\n",
+       "      <td>I was taking apart this thing that I bought fr...</td>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: Why did the designer use this motor? Bo...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Help with amplifier with feedback</td>\n",
+       "      <td>I am starting to learn to use operational ampl...</td>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: Help with amplifier with feedback Body:...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Single Supply Op Amp to Amplify 0-3.3V to 0-10V</td>\n",
+       "      <td>This may be a very basic question but as the u...</td>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: Single Supply Op Amp to Amplify 0-3.3V ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>How to start with 3d tracking? [on hold]</td>\n",
+       "      <td>I am new to all of this and I really feel over...</td>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: How to start with 3d tracking? [on hold...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                          question  \\\n",
+       "0                        Frequency Inverter LS IS5   \n",
+       "1             Why did the designer use this motor?   \n",
+       "2                Help with amplifier with feedback   \n",
+       "3  Single Supply Op Amp to Amplify 0-3.3V to 0-10V   \n",
+       "4         How to start with 3d tracking? [on hold]   \n",
+       "\n",
+       "                                             excerpt        topic  \\\n",
+       "0  I have been working with a IS5 frequency inver...  electronics   \n",
+       "1  I was taking apart this thing that I bought fr...  electronics   \n",
+       "2  I am starting to learn to use operational ampl...  electronics   \n",
+       "3  This may be a very basic question but as the u...  electronics   \n",
+       "4  I am new to all of this and I really feel over...  electronics   \n",
+       "\n",
+       "                                               Input  \n",
+       "0  Title: Frequency Inverter LS IS5 Body: I have ...  \n",
+       "1  Title: Why did the designer use this motor? Bo...  \n",
+       "2  Title: Help with amplifier with feedback Body:...  \n",
+       "3  Title: Single Supply Op Amp to Amplify 0-3.3V ...  \n",
+       "4  Title: How to start with 3d tracking? [on hold...  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Combine 'question' and 'excerpt' columns in TRAIN\n",
+    "# train_df['Input'] = \" Title: \" + train_df['Title'] + \"Body: \" + train_df['Body']\n",
+    "\n",
+    "TRAIN['Input'] = \"Title: \" + TRAIN['question'] + \" Body: \" + TRAIN['excerpt']\n",
+    "\n",
+    "# Combine 'question' and 'excerpt' columns in TEST\n",
+    "TEST['Input'] = \"Title: \" + TEST['question'] + \" Body: \" + TEST['excerpt']\n",
+    "\n",
+    "# Display the updated DataFrames\n",
+    "TRAIN.head()\n",
+    "TEST.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "c9b491e9",
+   "metadata": {
+    "vscode": {
+     "languageId": "ruby"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>topic</th>\n",
+       "      <th>Input</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: Frequency Inverter LS IS5 Body: I have ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: Why did the designer use this motor? Bo...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: Help with amplifier with feedback Body:...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: Single Supply Op Amp to Amplify 0-3.3V ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: How to start with 3d tracking? [on hold...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         topic                                              Input\n",
+       "0  electronics  Title: Frequency Inverter LS IS5 Body: I have ...\n",
+       "1  electronics  Title: Why did the designer use this motor? Bo...\n",
+       "2  electronics  Title: Help with amplifier with feedback Body:...\n",
+       "3  electronics  Title: Single Supply Op Amp to Amplify 0-3.3V ...\n",
+       "4  electronics  Title: How to start with 3d tracking? [on hold..."
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "TRAIN = TRAIN.drop(columns=['question', 'excerpt'])\n",
+    "TEST = TEST.drop(columns=['question', 'excerpt'])\n",
+    "\n",
+    "# Display the updated DataFrames\n",
+    "TRAIN.head()\n",
+    "TEST.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "980e17a4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>topic</th>\n",
+       "      <th>Input</th>\n",
+       "      <th>Tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: Frequency Inverter LS IS5 Body: I have ...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: Why did the designer use this motor? Bo...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: Help with amplifier with feedback Body:...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: Single Supply Op Amp to Amplify 0-3.3V ...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>electronics</td>\n",
+       "      <td>Title: How to start with 3d tracking? [on hold...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         topic                                              Input  \\\n",
+       "0  electronics  Title: Frequency Inverter LS IS5 Body: I have ...   \n",
+       "1  electronics  Title: Why did the designer use this motor? Bo...   \n",
+       "2  electronics  Title: Help with amplifier with feedback Body:...   \n",
+       "3  electronics  Title: Single Supply Op Amp to Amplify 0-3.3V ...   \n",
+       "4  electronics  Title: How to start with 3d tracking? [on hold...   \n",
+       "\n",
+       "            Tags  \n",
+       "0  [electronics]  \n",
+       "1  [electronics]  \n",
+       "2  [electronics]  \n",
+       "3  [electronics]  \n",
+       "4  [electronics]  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "TRAIN['Tags'] = TRAIN['topic'].apply(lambda x: [x])\n",
+    "TEST['Tags'] = TEST['topic'].apply(lambda x: [x])\n",
+    "\n",
+    "# Display the updated DataFrames\n",
+    "TRAIN.head()\n",
+    "TEST.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "7ad1d75f",
+   "metadata": {
+    "vscode": {
+     "languageId": "ruby"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Input</th>\n",
+       "      <th>Tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Title: Frequency Inverter LS IS5 Body: I have ...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Title: Why did the designer use this motor? Bo...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Title: Help with amplifier with feedback Body:...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Title: Single Supply Op Amp to Amplify 0-3.3V ...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Title: How to start with 3d tracking? [on hold...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                               Input           Tags\n",
+       "0  Title: Frequency Inverter LS IS5 Body: I have ...  [electronics]\n",
+       "1  Title: Why did the designer use this motor? Bo...  [electronics]\n",
+       "2  Title: Help with amplifier with feedback Body:...  [electronics]\n",
+       "3  Title: Single Supply Op Amp to Amplify 0-3.3V ...  [electronics]\n",
+       "4  Title: How to start with 3d tracking? [on hold...  [electronics]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "TRAIN = TRAIN.drop(columns=['topic'])\n",
+    "TEST = TEST.drop(columns=['topic'])\n",
+    "\n",
+    "# Display the updated DataFrames\n",
+    "TRAIN.head()\n",
+    "TEST.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "f4fc5539",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Save TRAIN DataFrame to a CSV file\n",
+    "TRAIN.to_csv('/home/darth/#/SEQuestionClassifier/data/hackerank/train_data.csv', index=False)\n",
+    "\n",
+    "# Save TEST DataFrame to a CSV file\n",
+    "TEST.to_csv('/home/darth/#/SEQuestionClassifier/data/hackerank/test_data.csv', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "d890d29c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Input</th>\n",
+       "      <th>Tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Title: What is the effective differencial effe...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Title: Heat sensor with fan cooling Body: Can ...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Title: Outlet Installation--more wires than my...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Title: Buck Converter Operation Question Body:...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Title: Urgent help in area of ASIC design, ver...</td>\n",
+       "      <td>[electronics]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                               Input           Tags\n",
+       "0  Title: What is the effective differencial effe...  [electronics]\n",
+       "1  Title: Heat sensor with fan cooling Body: Can ...  [electronics]\n",
+       "2  Title: Outlet Installation--more wires than my...  [electronics]\n",
+       "3  Title: Buck Converter Operation Question Body:...  [electronics]\n",
+       "4  Title: Urgent help in area of ASIC design, ver...  [electronics]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Combine TRAIN and TEST DataFrames\n",
+    "combined_df = pd.concat([TRAIN, TEST], ignore_index=True)\n",
+    "\n",
+    "# Save the combined DataFrame to a CSV file\n",
+    "combined_df.to_csv('/home/darth/#/SEQuestionClassifier/data/hackerank/combined_data.csv', index=False)\n",
+    "\n",
+    "# Display the combined DataFrame\n",
+    "combined_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "b4dad73e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Input</th>\n",
+       "      <th>Tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Title: Java: Repeat Task Every Random Seconds...</td>\n",
+       "      <td>['java', 'repeat']</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Title: Why are Java Optionals immutable?Body:...</td>\n",
+       "      <td>['java', 'optional']</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Title: Text Overlay Image with Darkened Opaci...</td>\n",
+       "      <td>['javascript', 'image', 'overlay', 'react-nati...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Title: Why ternary operator in swift is so pi...</td>\n",
+       "      <td>['swift', 'operators', 'whitespace', 'ternary-...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Title: hide/show fab with scale animationBody...</td>\n",
+       "      <td>['android', 'material-design', 'floating-actio...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                               Input  \\\n",
+       "0   Title: Java: Repeat Task Every Random Seconds...   \n",
+       "1   Title: Why are Java Optionals immutable?Body:...   \n",
+       "2   Title: Text Overlay Image with Darkened Opaci...   \n",
+       "3   Title: Why ternary operator in swift is so pi...   \n",
+       "4   Title: hide/show fab with scale animationBody...   \n",
+       "\n",
+       "                                                Tags  \n",
+       "0                                 ['java', 'repeat']  \n",
+       "1                               ['java', 'optional']  \n",
+       "2  ['javascript', 'image', 'overlay', 'react-nati...  \n",
+       "3  ['swift', 'operators', 'whitespace', 'ternary-...  \n",
+       "4  ['android', 'material-design', 'floating-actio...  "
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Read the train and validation data CSV files\n",
+    "train_data = pd.read_csv('/home/darth/#/SEQuestionClassifier/data/kaggle_stack_overflow/train_data.csv')\n",
+    "valid_data = pd.read_csv('/home/darth/#/SEQuestionClassifier/data/kaggle_stack_overflow/valid_data.csv')\n",
+    "\n",
+    "# Combine the two DataFrames\n",
+    "combined_data = pd.concat([train_data, valid_data], ignore_index=True)\n",
+    "\n",
+    "# Save the combined DataFrame to a new CSV file\n",
+    "combined_data.to_csv('/home/darth/#/SEQuestionClassifier/data/kaggle_stack_overflow/combined_data.csv', index=False)\n",
+    "\n",
+    "# Display the combined DataFrame\n",
+    "combined_data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4d6e1cd3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "60000"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "2a8a74f4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Input</th>\n",
+       "      <th>Tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Title: What is the effective differencial effe...</td>\n",
+       "      <td>['electronics']</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Title: Heat sensor with fan cooling Body: Can ...</td>\n",
+       "      <td>['electronics']</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Title: Outlet Installation--more wires than my...</td>\n",
+       "      <td>['electronics']</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Title: Buck Converter Operation Question Body:...</td>\n",
+       "      <td>['electronics']</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Title: Urgent help in area of ASIC design, ver...</td>\n",
+       "      <td>['electronics']</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                               Input             Tags\n",
+       "0  Title: What is the effective differencial effe...  ['electronics']\n",
+       "1  Title: Heat sensor with fan cooling Body: Can ...  ['electronics']\n",
+       "2  Title: Outlet Installation--more wires than my...  ['electronics']\n",
+       "3  Title: Buck Converter Operation Question Body:...  ['electronics']\n",
+       "4  Title: Urgent help in area of ASIC design, ver...  ['electronics']"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# List of file paths to combine\n",
+    "file_paths = [\n",
+    "    '/home/darth/#/SEQuestionClassifier/data/hackerank/combined_data.csv',\n",
+    "    '/home/darth/#/SEQuestionClassifier/data/kaggle_stack_overflow/combined_data.csv',\n",
+    "    '/home/darth/#/SEQuestionClassifier/data/stack_exchange/combined_data.csv'\n",
+    "]\n",
+    "\n",
+    "# Read and combine the CSV files\n",
+    "combined_df = pd.concat([pd.read_csv(file) for file in file_paths], ignore_index=True)\n",
+    "\n",
+    "# Display the combined DataFrame\n",
+    "combined_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0a02a99d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "162653"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "43e5362b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Save combined_df to a CSV file\n",
+    "combined_df.to_csv('/home/darth/#/SEQuestionClassifier/data/all_combined_data.csv', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "d332e709",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Input</th>\n",
+       "      <th>Tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>162653</td>\n",
+       "      <td>162653</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>162640</td>\n",
+       "      <td>81557</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>Title: Assigning colors to Graphics3D objects ...</td>\n",
+       "      <td>['android']</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>2</td>\n",
+       "      <td>4445</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                    Input         Tags\n",
+       "count                                              162653       162653\n",
+       "unique                                             162640        81557\n",
+       "top     Title: Assigning colors to Graphics3D objects ...  ['android']\n",
+       "freq                                                    2         4445"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "combined_df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "d09d6c8f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total unique tags: 69\n",
+      "Unique tags: {'T', 't', 'd', 'u', '6', '9', '<', '1', 'b', 'H', 'F', 'V', ']', 'L', ' ', '=', 'O', 'j', 'i', '}', 'c', 'w', '4', 'p', 'g', 'n', 'r', 'q', '#', 'k', '/', '(', 'o', 'm', 'z', '?', '8', 'P', 'f', 'D', 'I', '3', '7', ')', 'U', 'C', 'B', 'v', 'y', 'x', '.', '2', 'a', 's', '5', '$', 'l', 'W', 'E', 'h', '-', '+', \"'\", 'Y', 'A', '[', 'e', ',', '0'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Get all unique tags from the list of lists\n",
+    "all_tags = [tag for tags_list in combined_df['Tags'] for tag in tags_list]\n",
+    "unique_tags = set(all_tags)\n",
+    "\n",
+    "# Count unique tags\n",
+    "num_unique_tags = len(unique_tags)\n",
+    "\n",
+    "print(\"Total unique tags:\", num_unique_tags)\n",
+    "print(\"Unique tags:\", unique_tags)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "0a4ac50b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import ast\n",
+    "\n",
+    "# Convert string representations of lists to actual Python lists\n",
+    "combined_df['Tags'] = combined_df['Tags'].apply(ast.literal_eval)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "c7fe1d45",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total unique tags: 13158\n",
+      "Unique tags: {'foolproof-validation', 'visitor', 'vgo', 'maven-jaxb2-plugin', 'phoenix-framework', 'parameters', 'sqlmap', 'image-morphology', 'system', 'jslider', 'android-studio-import', 'search-engines', 'generic-constraints', 'internationalization', 'phpstorm', 'formulas', 'microsoft-teams', 'buttonclick', 'rule-acquisition', 'unsigned', 'request.form', 'session-cookies', 'confluence-rest-api', 'gephi', 'window-managers', 'cllocationmanager', 'education', 'foreground', 'android-studio-3.5', 'fortify', 'netflix-eureka', 'api', 'delegation', 'swift2.2', 'pkcs#12', 'eclipse-rcp', 'airodump-ng', 'universal-analytics', 'tensorflow2.0', 'numbers', 'makemigrations', 'facebook-opengraph', 'nsthread', 'type-promotion', 'chef-infra', 'chai-enzyme', 'nsurlconnection', 'vimeo-android', 'jenkins-job-dsl', 'representation-learning', 'pruning', 'input-sanitization', 'autoscroll', 'stringio', 'deep-rl', 'android-launcher', 'sqlalchemy', 'stop-words', 'reaver', 'docker-compose', 'oraclereports', 'jstatd', 'laravel-middleware', 'arcpy', 'project-planning', 'default', 'switching', 'dct', 'ghz-state', 'coordinate', 'sympy', 'string-matching', 'intercept', 'data-preprocessing', 'openmp', 'statistics', 'refined', 'eula', 'clearcanvas', 'solo-development', 'angularjs-ng-repeat', 'wpf', 'azure-devops-rest-api', 'air', 'keep-alive', 'future', 'unchecked', 'papers', 'react-ga', 'accumulo', 'spring-jdbc', 'identity-theft', 'tacit-programming', 'bqp', 'liquid', 'sensenet', 'c++-amp', 'selection-operators', 'alpha', 'twig', 'sp800-63b', 'plpgsql', 'linker-errors', 'telecommunication', 'string-interpolation', 'deserialization', 'spnego', 'patch', 'sequence-generators', 'cncontact', 'wma', 'pip', 'empty-list', 'angular2-observables', 'threat-mitigation', 'webpack-dev-server', 'kubernetes-secrets', 'string-function', 'luhn', 'jgrapht', 'wannacry', 'protractor', 'vpn', 'min', 'extract-text-plugin', 'tag-dispatching', 'oraclejdk', 'server-side', 'alerts', 'wtforms', 'rexx', 'logback', 'opencv', 'certbot', 'android-button', 'undefined-reference', 'asp.net-core-3.0', 'conda', 'flask-cors', 'routes', 'quantum-fisher-information', 'informatica-powercenter', 'john-the-ripper', 'rbind', 'intentfilter', 'fiddler', 'ios-charts', 'rocket.chat', 'android-geofence', 'cancellationtokensource', 'property-binding', 'size', 'toolbox', 'detox', 'operator-keyword', 'hasownproperty', 'lubridate', 'insertion', 'windows-permissions', 'excel-formula', 'eddystone', 'mousehover', 'java-websocket', 'single-page-app', 'bayesian-learning', 'control-structures', 'ifstream', 'google-pagespeed', 'jaccard-similarity', 'circe', 'web-inspector', 'merge', 'polymer-2.x', 'dimensions', 'jquery-chosen', 'deadlines', 'inline-assembly', 'distributed-computing', 'spannable', 'raspberry-pi-zero', 'modelmapper', 'grafana', 'libpq', 'picasso', 'filepond', 'tesseract', 'try-with-resources', 'twitter-bootstrap', 'sails.js', 'paint', 'singleton', 'spacy', 'pagespeed-insights', 'no-free-lunch-theorems', 'vue-component', 'validation', 'shared', 'cisco-ios', 'url-redirection', 'dead-letter', 'mobile-development', 'postgis', 'apache-httpclient-4.x', 'm', 'paas', 'mercurial-extension', 'google-signin', 'newline', 'qgis', 'web-hosting', 'kotlin', 'unpack', 'nfs', 'memory-address', 'inputmismatchexception', 'xml-parsing', 'http-status-code-405', 'background-process', 'memset', 'package-managers', 'xampp', 'qtableview', 'autocloseable', 'listbox', 'readme', 'android-radiogroup', 'code-inspection', 'roi', 'aem', 'fonts', 'werkzeug', 'explicit', 'methodology', 'pdfmake', 'websocket', 'header-files', 'sql-server-data-tools', 'routerlink', 'libsvm', 'wifip2p', 'x64dbg', 'conceptual', 'csh', 'declaration', 'cloudfoundry', 'variation', 'taskkill', 'information-retrieval', 'symfony-config-component', 'heapspray', 'openai-gym', 'hotp', 'cyrillic', 'r-cnn', 'nonblocking', 'opacity', 'pre-commit', 'pyyaml', 'application-pool', 'preload', 'http-status-code-408', 'python-wheel', 'vscode-debugger', 'rank', 'sequence-diagram', 'self-signed', 'javafx-gradle-plugin', 'people-management', '68000', 'google-guice', 'qbasic', 'totp', 'stack-variables', 'smartface.io', 'openshift-origin', 'powerbi', 'qt-designer', 'erase', 'boolean', 'schema', 'floating-accuracy', 'macos-catalina', 'fuzzy', 'dotnetrdf', 'scala-implicits', 'using-directives', 'tensorflow-gpu', 'cdi', 'great-circle', 'db2-luw', 'secure-boot', 'gprof', 'gitflow', 'wpf-controls', 'android-gradle-3.0', 'angular2-router', 'loop-unrolling', 'vlan-hopping', 'teradata', 'jacoco', 'arm64', 'aspell', 'nsight', 'simple-form', 'systemd-journald', 'google-search', 'android-textinputlayout', 'codemirror', 'mixins', 'webpack', 'asp.net-web-api', 'uiimagejpegrepresentation', 'trigonometry', 'cache-invalidation', 'bash', 'bazel', 'swap-test', 'safari', 'docker-networking', 'shebang', 'binary-format', 'azure-cli', 'security-policy', 'swiftcharts', 'unit-testing', 'google-chrome-extension', 'php-parse-error', 'ansys', 'scep', 'httpserver', 'listview', 'imagesource', 'game-engine', 'crackme', 'postfix', 'end-to-end-encryption', 'xsd-validation', 'live-wallpaper', 'target-network', 'event-bubbling', 'nsmutabledata', 'bulkupdate', 'heidisql', 'type-constraints', 'addeventlistener', 'time.h', 'angr', 'parallel-processing', 'quectel', 'confusion-matrix', 'yii2-validation', 'lgpl', 'phantomjs', 'graph', 'spring-test', 'bit-rot', 'failure', 'hanami', 'google-cloud-dataflow', 'gmm', 'arcgis', 'powershell-remoting', 'angular-httpclient', 'network-design', 'risc-v', 'type-mismatch', 'non-determinism', 'fips', 'nat', 'tkinter-canvas', 'sweetalert', 'querystringparameter', 'construction', 'persistence', 'name-mangling', 'react-native-text', 'side-effects', 'android-progressbar', 'avro', 'data-augmentation', 'file-storage', 'docker-container-trust', 'google-spreadsheet-api', 'dailymotion-api', 'android-resources', 'mesos', 'testcomplete', 'user-agent', 'path-injection', 'this-pointer', 'ux', 'svn-repository', 'centos6', 'dom-manipulation', 'interopservices', 'image-generation', 'odoo-12', 'threats', 'flask-restful', 'kotlin-lateinit', 'mub', 'nose', '.net-4.7.1', 'svelte-store', 'episodic-tasks', 'angular2-formbuilder', 'fpdf', 'operating-systems', 'quality', 'watermark', 'repl.it', 'lvalue', 'ruby-on-rails-5.2', 'bettercap', 'abstract-factory', 'numpy', 'chaining', 'ms-access-2010', 'newtype', 'aws-ecr', 'action', 'nsmutabledictionary', ' Live Objects vs Everything in Database', 'daemon', 'core-motion', 'notificationmanager', 'project-structure', 'page-zoom', 'soar', 'account-security', 'range', 'multi-core', 'amazon-glacier', 'keycloak-services', 'rust-cargo', 'compilation', 'python-3.5', 'compose', 'toml', 'html-lists', 'undelete', 'oracle11g', 'unboxing', 'attachment', 'physical-access', 'data-annotations', 'tortoisesvn', 'gcc-warning', 'email-confirmation', '.htaccess', 'd', 'android-package-managers', 'bayesian-optimization', 'account-lockout', 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'wmic', 'android-7.0-nougat', 'exponentiation', 'testng', 'multi-mapping', 'minimum-requirements', 'state-space-complexity', 'hockeyapp', 'form-data', 'stdstring', 'filewriter', 'clipping', 'forensics', 'readwritelock', 'bloc', 'private', 'geolocation', 'antlr', 'gauge', 'coercion', 'private-messaging', 'self-executing-function', 'dvd', 'black-box-testing', 'angular2-ngmodel', 'pretext-tasks', 'scale', 'google-cloud-bigtable', 'pandasql', 'capybara', 'ubuntu', 'hortonworks-data-platform', 'wsgiref', 'nsdateformatter', 'tech', 'avspeechsynthesizer', 'django-authentication', 'glm-math', 'key-value', 'docker-toolbox', 'plesk', 'deterministic-pg-theorem', 'web-applications', 'jenkins-2', 'ag', 'http-redirect', 'ngfor', 'pymongo-3.x', 'scss-mixins', 'ios8.1', 'opennlp', 'stack-overflow', 'conversion-specifier', 'rbac', 'mininet', 'l2-regularization', 'access-token', 'bug-tracking', 'document-databases', 'sigterm', 'react-chartjs', 'hce', 'reactstrap', 'mainloop', 'global-variables', 'reward-normalization', 'http-status-code-429', 'filenames', 'skills', 'google-cloud-speech', 'copy-paste', 'laravel-echo', 'puppet', 'active-learning', 'timer', 'mongoose-schema', 'deanonymization', 'functional-programming', 'alphabet', 'varnish-4', 'compliance', 'powerbuilder', 'pytest-django', 'freebsd', 'ndnsim', 'chroot', 'listviewitem', 'majorana-particle', 'where-clause', 'toolchain', 'ui-grid', 'variant', 'ads', 'user-names', 'onlongclicklistener', 'text-summarization', 'test-runner', 'reading-code', 'taglib-sharp', 'android-orientation', 'minimize', 'httpd.conf', 'heap-size', 'backbone.js-collections', 'bootstrap-select', 'android-fragmentactivity', 'core-audio', 'registry', 'caffeine', 'pci', 'phpstorm-2017.1', 'panel', 'ios-extensions', 'temporary-directory', 'lumenworks', 'argc', 'spacemacs', 'alu', 'neural-network', 'richtextbox', 'chocolatey', 'sentry', 'page-title', 'yubico', 'outsystems', 'lagom', 'gmp', 'soa', 'x509', 'executable-jar', 'podfile', 'spark-structured-streaming', 'automl', 'vb.net-to-c#', 'pybind11', 'temporal-database', 'android-internet', 'shunting-yard', 'git-merge-conflict', 'reflect', 'circuit', 'angular-translate', 'eslint-config-airbnb', 'activex', 'ngtools', 'veracrypt', 'github-api', 'vertical-alignment', 'luigi', 'instant', 'node-streams', 'key-exchange', 'angular-changedetection', 'addclass', 'cimg', 'reactive-programming', 'dempster-shafer-theory', 'filenotfoundexception', 'cpan', 'jelastic', 'common-lisp', 'input', 'django-channels', 'google-api-php-client', 'reverse-engineering', 'anonymous-users', 'android-ibeacon', 'shakespeare-text', 'shared-directory', 'homestead', 'gas', 'return-value', 'typing', 'aws-appsync', 'bootstrap-4', 'autologin', 'scalability', 'semidefinite-programming', 'distutils', 'jsf', 'video', 'karma-webpack', 'combinatorial-optimization', 'homomorphic-encryption', 'proximal-policy-optimization', 'parse-server', 'slugify', 'arraydeque', 'xjc', 'closures', 'frp', 'mapping', 'calc', 'osx-elcapitan', 'value-iteration', 'ora-06512', 'restful-url', 'cpu-cache', 'esp32', 'stochastic-hill-climbing', 'macos-sierra', 'beam-search', 'brain', 'jpa', 'textures', 'idisposable', 'gd', 'iis-10', 'emv', 'collision-detection', 'compiler-warnings', 'macros', 'ansi-escape', 'leak-sanitizer', 'lex', 'unsupportedoperation', 'struct', 'ecdsa', 'bean-validation', 'header', 'baseadapter', 'merging', 'next', 'prawn', 'largenumber', 'twilio-php', 'react-jsx', 'tryparse', 'equals', ' how do I manage them?', 'pygresql', 'dot-product', 'htmlunit', 'orm', 'natural-join', 'fpm', 'preference', 'distinct', 'twitter-bootstrap-4', 'delphi-xe2', 'spring-framework-beans', 'conjunctive-normal-form', 'extension-methods', 'binary-classification', 'stabilizer-state', 'pnotify', 'codeblocks', 'web-audio-api', 'django-generic-views', 'google-sycamore', 'coq', 'automatic-programming', 'dbpedia', 'mpi', 'cart', 'bonjour', 'metronic', 'nv-centers', 'model-agnostic-meta-learning', 'linegraph', 'subdomain', 'newtons-method', 'c-api', 'facebook-pixel', 'test-scenarios', 'gesturelistener', 'onbackpressed', 'linq-to-sql', 'zurb-foundation', 'android-cursor', 'types', 'database-migration', 'single-page-apps', 'amazon-linux', 'epicorerp', 'team-explorer', 'easygui', 'substring', 'pixel-perfect', 'aggregate-functions', 'arduino-uno-wifi', 'hdinsight', 'numerical-analysis', 'credit-card', 'main-method', 'oracleclient', 'glx', 'breach', 'zero-day', 'software-patent', 'xcode', 'tabs', 'fiware-cygnus', 'atlassian-sourcetree', 'word-embedding', 'input-layer', 'type-families', 'inno-setup', 'rails-ujs', 'bottomnavigationview', 'boundaries', 'cordova', 'ibeacon', 'cqs', 'google-app-engine', 'transferable', 'racket', 'defaultmodelbinder', 'qaoa', 'inline-variable', 'strongname', 'production-systems', 'loopback', 'coefficients', 'graph-search', 'google-fit', 'record-linkage', 'dart-js-interop', 'template-meta-programming', 'indoor-positioning-system', 'tableau-api', 'password-encryption', 'maven-profiles', 'deepmind', 'skype', 'neural-turing-machine', 'skip-connections', 'tfs-2015', 'tidyeval', 'icloud-api', 'sudo', 'clustering', 'mlmodel', 'scoring', 'error-detection', 'jquery-gmap3', 'jointable', 'wpa2-psk', 'fasttext', 'hhl-algorithm', 'cucumber', 'prosody-im', 'applinks', 'gate-synthesis', 'pycrypto', 'content-security-policy', 'apple-developer', 'redux-devtools-extension', 'setinterval', 'mpeg-dash', 'httphandler', 'stickyrecycleview', 'historical', 'task-queue', 'azure-deployment', 'deferred', 'target', 'deprecated', 'qmainwindow', 'postgresql-9.6', 'implementations', 'python-imaging-library', 'gorilla', 'animated-gif', 'less-unix', 'flutter-plugin', 'collaboration', 'proxypass', 'philosophy', 'es6', 'pyenv', 'android-instant-apps', 'circuit-construction', 'mysql', 'tslint', 'unsigned-long-long-int', 'backslash', 'password-prompt', 'android-number-picker', 'renderer', 'custom-arrayadapter', 'genymotion', 'tweepy', ' what other options do we have?', 'ios-frameworks', 'str-replace', 'android-tablayout', 'alignment', 'jd-gui', 'mapbox', 'xcode10.2', 'lotus', 'ember-data', 'arm', 'branching-and-merging', 'sample', 'namenode', 'inversion-of-control', 'caanimation', 'action-model-learning', 'factory', 'reward-shaping', 'charts', 'vim', 'swizzling', 'opencart2.x', 'resolve', 'probability-distribution', 'tomcat', 'managed', 'syntaxnet', 'hiphop', 'git-svn', '3-tier', 'mask', 'jsoncpp', 'hashlib', 'amazon-ebs', 'cross-application', 'hdfs', 'x++', 'rule', '3dtouch', 'mkdirs', 'fluentd', 'github-package-registry', 'responsiveness', 'std', 'angular-cdk', 'network-share', 'imitation-learning', 'cli', 'pem', 'qregularexpression', 'pptp', 'window-chrome', 'recommender-system', 'android-studio-2.3', 'browserify', 'nyc', 'pass-by-value', 'querydsl', 'capacitor', 'nuget-server', 'css', 'zone.js', 'svelte', '8051', 'gwt', 'xcasset', 'server-security', '.net-1.1', 'anomaly-detection', 'control-problem', 'rtsp', 'design-patterns', 'byte-code', 'apple-maps', 'callkit', 'gridster', 'cartesian-coordinates', 'art-aesthetics', 'read.table', 'screenshot', 'hprof', 'diskspace', 'eregi', 'sparkr', 'isodate', 'partial-ordering', 'recreate', 'visual-studio-2012', 'end-points', 'mysql-python', 'webvr', 'pgp', 'android-testing', 'ansi-c', 'ng-template', 'apple-push-notifications', 'windows-7-x64', 'bootstrapping', 'platform', 'terms-of-service', 'bigdata', 'random-search', 'angular7-router', 'nsmenu', 'dynamic-programming', 'morelinq', 'ujs', 'session-timeout', 'google-drive-realtime-api', 'lerp', 'workflows', 'microsoft-edge', 'viewcontroller', 'paperclip', 'pull-to-refresh', 'summarize', 'heat', 'moth-flame-optimization', 'twitter-bootstrap-3', 'airgeddon', 'error', 'bpm', 'mern', 'two-factor-authentication', 'xor-problem', 'if-statement', 'android-doze-and-standby', 'human-computer-interaction', 'user-experience', 'npm-publish', 'kops', 'soc', 'word-count', 'duplicate-keys', 'software', 'todo', 'django-urls', 'release-management', 'const-reference', 'sdlc', 'maven-3', 'filtering', 'jquery', 'transform', 'dos', 'l2tp', 'x86-16', 'windows-administration', 'laravel-request', 'google-schemas', 'high-level', 'object-oriented-design', 'protobuf', 'icalendar', 'automatic-differentiation', 'entity-framework-core', 'stackblitz', 'gitignore', 'sikuli', 'date-fns', 'plural', 'sigmoid', 'amazon-kinesis', 'volatility', 'android-bundle', 'python-mock', 'cancan', 'embedded-sql', 'azure-sdk', 'goto', 'android-5.0-lollipop', 'geom-text', 'event-programming', 'friends', 'jekyll-paginator', 'android-webview', 'gis', 'clone', 'chmod', 'axes', 'twisted', 'google-awareness', 'honeypot', 'keyword', 'eclipse-plugin', 'dice-loss', 'laravel-5.2', 'veins', 'sas', 'quickcheck', 'session-storage', 'graphql-java', 'executorservice', 'bigdecimal', 'textfield', 'word-cloud', 'weblogic', 'checkedlistbox', 'map-directions', 'stunnel', 'pypy', 'sql-server', 'dense-layers', 'singular-value-decomposition', 'android-binding-adapter', 'oracleforms', 'apache-flink', 'whatsapp', 'appsettings', 'r.java-file', 'android-powermanager', 'intellisense', 'webdriver-manager', 'filezilla', 'fragmentation', 'request', 'preventdefault', 'cross-site', 'quantum-boltzmann-machine', 'scala-2.12', 'watchkit', 'android-biometric-prompt', 'message-queue', 'business-process', 'figure', 'config', 'user-interface', 'robotframework-ide', 'mime-message', 'currentlocation', 'svelte-component', 'group-concat', 'uitextfielddelegate', 'aide', 'libcurl', 'android-night-mode', 'visual-studio-2010', 'vtk', 'language-comparisons', 'apparmor', 'custom-data-type', 'intellij-14', 'greatest-n-per-group', 'experience-replay', 'configure', 'css-loader', 'unlabeled-datasets', 'pcap', 'filesize', 'location-href', 'watir', 'one-definition-rule', 'fasthttp', 'sqlcommand', 'ghprb', 'node.js', 'findviewbyid', 'vue-loader', 'safearealayoutguide', 'textblob', 'ruby-2.1', 'designer', 'url.action', 'automatic-update', 'sqlacodegen', 'script', 'cons', 'jws', 'flash', 'mbed', 'kinect', 'uncaught-exception', 'postgresql-9.3', 'istanbul', 'line-breaks', 'katalon-studio', 'model', 'entity-attribute-value', 'blind-quantum-computing', 'oracle-adf', 'metaprogramming', 'industry', 'android-listfragment', 'amd-processor', 'multiple-columns', 'iphone-6', 'laravel-nova', 'calculated-field', 'page-load-time', 'office365', 'amazon-web-services', 'mime-types', 'q', 'chained-assignment', 'event-driven', 'key-bindings', 'between', 'python-behave', 'ldap', 'tls1.2', 'networkstream', 'secret-sharing', 'atmelstudio', 'apscheduler', 'development-process', 'vulnerability-analysis', 'rhel', 'sw-toolbox', 'lpips', 'accessibility', 'ofstream', 'post-quantum', 'sqlconnection', 'codeception', 'connect-four', 'gpu', 'ciimage', 'uwp', 'unity3d', 'typography', 'code-layout', 'teleportation', 'rack', 'visual-c++-2015', 'pluck', 'openerp', 'interpreters', 'iphone', 'ef-code-first', 'coreml', 'iddfs', 'string', 'python-3.7', 'richfaces', 'android-tv', 'explorer', 'batch-file', 'rename', 'carthage', 'social-networking', 'karabiner', 'numeric-precision', 'fbx', 'separator', 'build-settings', 'idioms', 'javascript-debugger', 'experience', 'azure-stream-analytics', 'mouse', 'du', 'popup', 'receptive-field', 'asp.net-identity-2', 'uitabbaritem', 'infrared', 'static-variables', 'haskell-platform', 'ubuntu-14.04', 'centos', 'favicon', 'date-comparison', 'shrinkwrap', 'bioperl', 'saxparser', 'sub-array', 'infragistics', 'laravel-mix', 'liskov-substitution-principle', 'c++builder', 'rfid', 'quirk', 'http-status-code-410', 'ansible-role', 'wake-sleep-algorithm', 'inputstream', 'sublimetext3', 'regularized', 'querying', 'psycopg2', 'credential-providers', 'coproduct', 'qnap', 'resttemplate', 'pycuda', 'fluent', 'rules-and-constraints', 'text-encoding', 'universal', 'web-development-server', 'onhover', 'splash-screen', 'action-spaces', 'nstask', 'split', 'pug', 'hibernate-mapping', 'psr-2', 'sage', 'web-console', 'objective-functions', 'worksheet', 'userscripts', 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'non-exhaustive-patterns', 'react-leaflet', 'completionhandler', 'word', 'noise-reduction', 'dynamic-languages', 'one-to-many', 'rake', 'pie', 'java-deployment-toolkit', 'hybris', 'privilege-separation', 'entity-relationship', 'dbflow', 'emotion', 'lint', 'seo', 'postselection', 'deprecation', 'extjs', 'lottie', 'data.table', 'primes', 'pgadmin', 'magento2.2', 'airprint', 'gridlayoutmanager', 'instagram', 'fontastic', 'stateful', 'wpa3', 'kubernetes-ingress', 'serialization', 'udp', 'visual-studio-cordova', 'cheminformatics', 'netsuite', 'vba', 'android-service-binding', 'voltdb', 'ibm-quantum-experience', 'forward-compatibility', 'ocpjp', 'mean-squared-error', 'openvpn', 'reference', 'game-ai', 'average-pooling', 'sequence-modeling', 'non-locality', 'ieee-754', 'google-directions-api', 'extension-function', 'interpolation', 'redis-sentinel', 'sccm', 'datainputstream', 'jbutton', 'crashlytics', 'django-views', 'simplexml', 'captive-portal', 'lpcstr', 'null-byte-injection', 'extreme-programming', 'community', 'root', 'wordpress-theming', 'vertical-slice-architecture', 'plt', 'conditional-types', 'min-entropy', 'adbwireless', 'kernel-extension', 'q#', 'facebook-messenger', 'signaling', 'python-2.7', 'uiviewanimationtransition', 'kubernetes-pod', 'html5-audio', 'android-toast', 'apache-fop', 'aspect-ratio', 'knuth', 'webfonts', 'basic4android', 'blocked', 'coldfusion', 'www-mechanize', 'sql-azure', 'nosuchmethoderror', 'window.location', 'owasp-bwa', 'trim', 'ed25519', 'phpcodesniffer', 'mosquitto', 'xvim', 'static-typing', 'flirt-signatures', 'reshape2', 'backbase', 'crypto++', 'ruby-on-rails-3', 'plotly-python', 'uicolor', 'google-cloud', 'saprfc', 'system-architecture', 'auth-token', 'variable-length', 'moose', 'performance-measuring', 'structure-from-motion', 'subprocess', 'android-workmanager', 'vision-transformer', 'caliburn.micro', 'read-only', 'textarea', 'android-websettings', 'opencsv', 'copy-elision', 'unreal-blueprint', 'corda', 'dos-exe', 'android-studio-3.1', 'solution', 'contentproperty', 'angular-bootstrap', 'putty', 'xaml-designer', 'dynamic-analysis', 'continuation', 'react-props', 'sigabrt', 'vagrant-provision', 'rhel7', 'radio', 'epplus', 'object-reference', 'isolation', 'cheat-engine', 'traefik', 'jersey', 'json-simple', 'rm', 'microdata', ' how can we encourage programmers to stop overly relying on testers?', 'mongorepository', 'blueborne', 'clojure', 'morse-code', 'parsley.js', 'rating', 'objective-c', 'xenforo', 'hpc', 'opengl-4', 'cmd', 'hardy-ramanujan', 'reinforce', 'warrant-canary', 'ssl-client-authentication', 'monkeypatching', 'core', 'strchr', 'time-series', 'adapter', 'asyncstorage', 'fade', 'google-maps-markers', 'runtime', 'ms-office', 'word-wrap', 'urlencode', 'activeperl', 'apktool', 'ranged-loops', 'integrated-information-theory', 'splunk', 'ruby-on-rails-5', 'thread-sanitizer', 'listen', 'section', 'facebook-login', 'react-lifecycle', 'jailbreak', 'react-select', 'azure-blob-storage', 'binary-analysis', 'mongodb-.net-driver', 'handwriting', 'interrupt', 'backgroundworker', 'gstreamer', 'nul', 'iteration', 'tests', 'right-click', 'mdd', 'jlex', 'xcode8-beta4', 'kdf', 'panda3d', 'burndown', 'podman', 'tortoisemerge', 'jquery-mobile', 'wasserstein-metric', 'alert', 'openssh', 'smtplib', 'fluentwait', 'feature-selection', 'tracking.js', 'big-data', 'swagger-2.0', 'neural-mt', 'nsfilemanager', 'decodable', 'c()', 'unique-ptr', 'feign', 'character-replacement', 'sprockets', 'hp-uft', 'serial-port', 'sharedpreferences', 'principal-component-analysis', 'image-net', 'web-config', 'penetration-testing', 'gpl', 'window-functions', 'reinforcement-learning', 'ora-02291', 'openblas', 'android-build-type', 'javabuilders', 'orquestra', 'metatrader4', 'cx-freeze', 'object-initializers', 'graph-neural-networks', 'features', 'circular-buffer', 'sensor-fusion', 'migration', 'mitmf', 'amazon-polly', 'linux-device-driver', 'dreamweaver', 'fold-expression', 'angular-seo', 'data-storage', 'fall-through', 'mime-type', 'resx', 'multitenancy', 'team-foundation-server', 'tpm', 'jsonb', 'ecmascript', 'windows-networking', 'android-support-library', 'cpu-architecture', 'character', 'lexical-scope', 'quantstrat', 'chromium', 'rust', 'c-preprocessor', 'ecmascript-6', 'wiki', 'definitelytyped', 'curve-fitting', 'forecast', 'merge-conflict-resolution', 'partial-trace', 'keycloak', 'embedded', 'datagrip', 'storybook', 'compound-assignment', 'policy-gradients', 'chrono', 'devops', 'onload-event', 'limma', 'gesturedetector', 'soft-actor-critic', 'mod-rewrite', '.net-4.7', 'dbscan', 'rncryptor', 'httprequest', 'azure-data-lake', 'syslog', 'string-literals', 'sml', 'text-to-column', 'vue.js', 'name-collision', 'authenticode', 'triplet-loss-function', 'updating', 'type-providers', 'tfsbuild', 'app-engine-flexible', 'shopping', 'monaca', 'react-router-v4', 'git-post-receive', 'plsqldeveloper', 'names', 'azure-devtest-labs', 'freetds', 'spring-websocket', 'mfmailcomposeviewcontroller', 'odbc', 'v-for', 'skos', 'placeholder', 'random-forests', 'continuous-action-spaces', 'swift2', 'mbeans', 'unzip', 'hyperledger', 'viewpagerindicator', 'citrix', 'ubuntu-server', 'requestanimationframe', 'economics', 'scala-wartremover', 'elastic-weight-consolidation', 'quantum-fourier-transform', 'php-5.2', 'data-link-layer', 'roman-numerals', 'testbed', 'uppercase', 'integrity', 'ssis-2012', 'regex-lookarounds', 'max-allowed-packet', 'google-cloud-cdn', 'hierarchical-clustering', 'mpc', 'sql-like', 'continuous-integration', 'live-streaming', 'capture', 'bosons', 'swift4', 'custom-error-handling', 'duck-typing', 'memcpy', 'xunit', 'magic-square', 'garbage-collection', 'lcd', 'code-editor', 'python-requests', 'human-factors', 'laravel-mail', 'keras-2', 'voice-recognition', 'marquee', 'delta-lake', 'price', 'cross-browser', 'magic-methods', 'packrat', 'reportviewer', 'smart-device', 'safari-web-inspector', 'url-encoding', 'avconv', 'tcpdump', 'http-patch', 'key-server', 'pages', 'asciidoc', 'ada', 'endpoint', 'pseudo-random-number-generator', 'spring-rabbit', ' How big should an object [that will be transferred between functions] be before I consider delegating it to the heap?', 'postgresql-9.2', 'smartphone', 'beego', 'linear-regression', 'pkcs7', 'vscode-tasks', 'lexikjwtauthbundle', 'reward-hacking', 'status', 'node.js-addon', 'picker', 'text-rendering', 'ios11.3', 'eu-data-protection', 'monad-transformers', 'pascal', 'policies', 'stripe.js', 'laravel-5.6', 'sidekit', 'mmap', 'encoder', 'readxl', 'streams', 'newsletter', 'dynamic-values', 'skflow', 'pecl', 'square', 'collections', 'agent-based', 'amazon-sagemaker', 'echarts', 'flac', 'reflected-xss', 'delphi-10.1-berlin', 'reloaddata', 'filebeat', 'gridsearchcv', 'staruml', 'timeserieschart', 'set-difference', 'dtplyr', 'variational-autoencoder', 'google-smartlockpasswords', 'intel-mkl', 'redundancy', 'event-driven-design', 'googlesigninaccount', 'azure-deployment-slots', 'driver', 'isomorphic-javascript', 'secure-renegotiation', 'vb6', 'deprecation-warning', 'magento2', 'bluetooth', 'contextual-bandits', 'anonymous-function', 'elastic-map-reduce', 'docker-volume', 'file-format', 'cloud-storage', 'xxd', 'background-service', 'model-binding', 'probability', 'angular-ui-bootstrap', 'activemq', 'bapi', 'clob', 'browser-automation', 'pyside2', 'recurrent-neural-network', 'number-sequence', 'embedded-tomcat-8', 'asp.net-mvc-3', 'monogame', 'vulnerabilities', 'onscroll', 'dimensional', 'qubo', 'squarespace', 'reporting-services', 'semantic-segmentation', 'windows-applications', 'commerce', 'payment', 'search', 'putchar', 'cursor', 'google-visualization', 'bokeh', 'autograd', 'msbuild', 'android-image', 'ecmascript-7', 'funcunit', 'cognitive-science', 'iris-dataset', 'html5', 'setuptools', 'android-application-class', 'swarm', 'cucumber-java', 'episerver', 'xcode-workspace', 'tabbed-browsing', 'ranking-systems', 'apns-php', 'logout', 'variadic', 'partial', 'code-contracts', 'assign', 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'pong', 'google-cloud-iam', 'image-transformations', 'overflow-menu', 'pulseaudio', 'approximation-error', 'smartfoxserver', 'android-market', 'asp.net-4.0', 'image-file', 'genome', 'dapper', 'sap-erp', 'onload', 'random-forest', 'redirect', 'terrorism', 'aws-cli', 'smartcard', 'onmouseover', 'preact', 'mongodb-shell', 'nvarchar', 'virtual-destructor', 'google-domains', 'itext7', 'prime-factoring', 'zend-framework3', 'android-sdk-manager', 'editpad', 'visual-tree', 'project-reactor', 'output-formatting', 'disk-image', 'gdal', 'i<something.length', 'pdf', 'superclass', 'kendo-grid', 'state-discrimination', 'probabilistic-graphical-models', 'libvirt', 'calabash', 'file-encryption', 'col', 'attn-gan', 'spring-data-elasticsearch', 'custom-validators', 'momentum', 'in-app-billing', 'gpo', 'povm', 'javacard', 'pusher', 'mgcv', 'awesome-wm', 'urllib2', 'django-forms', 'dnf', 'fish', 'beacon', 'cherry-pick', 'conemu', 'sshpass', 'dao', 'battery', 'virtual', 'primary-key-design', 'date-arithmetic', 'layout-manager', 'pywinauto', 'dangling-else', 'mongodb-query', 'nativeapplication', 'crc16', 'where-in', 'eigenvalues-and-eigenvectors', 'selenium-iedriver', 'python-unittest', 'n1ql', 'sax', 'optional-binding', 'sitecore', 'ag-grid-react', 'pyspark', 'xamarin.essentials', 'system.io.file', 'ffprobe', 'replicaset', 'nosniff', 'cortana-intelligence', 'progressive', 'manuals', 'manifest.mf', 'preg-match', 'mainclass', 'collision', 'instanceof', 'delegates', 'layer-normalization', 'android-contentprovider', 'socat', 'kapacitor', 'slurm', 'samba', 'video-processing', 'deployment', 'generator', 'fcntl', 'indexoutofrangeexception', 'onkeyup', 'project-management', 'prefetch', 'ubuntu-16.04', 'leftalign', 'javasound', 'web-deployment', 'mathematical-optimization', 'angularjs-1.5', 'abstract', ' WHY?', 'tls', 'comonad', 'react-testing-library', 'norvig-russell', 'angular-validation', 'radius', 'flex4', 'branching', 'iis', 'legal', 'upx', 'mpmovieplayercontroller', '1d-convolution', 'superh', 'jtree', 'adam', 'django-related-manager', 'formatter', 'device-tree', 'rcpp', 'pthreads', '64-bit', 'password-reset', 'rx-java2', 'powershell-core', 'jsonlite', 'grad-cam', 'stdout', 'regula', 'cpu-usage', 'code-completion', 'binary-crossentropy', 'bios', 'backup', 'pkcs8', 'ssh', 'android-keystore', 'graph-tool', 'visualization', 'conference', 'one-shot-learning', 'intentservice', 'information-presentation', 'python-decorators', 'glob', 'passwords', 'keymapping', 'siamese-neural-network', 'transition-model', 'mutation', 'run-configuration', 'postcss-loader', 'value-object', 'io-socket', 'shouldly', 'npm-update', 'cypher', 'client-server', 'width', 'etcd', 'nexus3', 'emet', 'google-knowledge-graph', 'ts-loader', 'bayesian-networks', 'biztalk-2013', 'accounting', 'http', 'uidatepicker', 'codepages', 'rebase', 'weather-api', 'yii2-basic-app', 'swig', 'mp3', 'bootswatch', 'lang', 'flutter-dependencies', 'url-rewrite-module', 'code-sample', 'puzzles', 'investigation', 'garrys-mod', 'graph-visualization', 'fluent-ffmpeg', 'emoji'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Flatten all tags into one list\n",
+    "all_tags = [tag for tag_list in combined_df['Tags'] for tag in tag_list]\n",
+    "\n",
+    "# Get the unique tags using a set\n",
+    "unique_tags = set(all_tags)\n",
+    "\n",
+    "# Print results\n",
+    "print(\"Total unique tags:\", len(unique_tags))\n",
+    "print(\"Unique tags:\", unique_tags)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "574c52db",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "major02",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}