Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
# 🤖 Sentiment Classifier with Sarcasm Detection
|
2 |
|
3 |
This model combines `roberta-base` embeddings with a BiLSTM layer and attention mechanism to classify the **sentiment of movie reviews**, even when the language includes sarcasm, irony, or mixed emotional signals.
|
|
|
1 |
+
---
|
2 |
+
language: en
|
3 |
+
datasets:
|
4 |
+
- imdb
|
5 |
+
library_name: transformers
|
6 |
+
tags:
|
7 |
+
- sentiment-analysis
|
8 |
+
- roberta
|
9 |
+
- bilstm
|
10 |
+
- attention
|
11 |
+
- sarcasm
|
12 |
+
license: apache-2.0
|
13 |
+
pipeline_tag: text-classification
|
14 |
+
model_type: roberta
|
15 |
+
widget:
|
16 |
+
- text: "This movie was a masterpiece!"
|
17 |
+
example_title: Positive Example
|
18 |
+
- text: "If I had a dollar for every cliché..."
|
19 |
+
example_title: Sarcasm Example
|
20 |
+
---
|
21 |
+
|
22 |
+
|
23 |
# 🤖 Sentiment Classifier with Sarcasm Detection
|
24 |
|
25 |
This model combines `roberta-base` embeddings with a BiLSTM layer and attention mechanism to classify the **sentiment of movie reviews**, even when the language includes sarcasm, irony, or mixed emotional signals.
|