---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---

# bertopic-test_1010

This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. 
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. 

## Usage 

To use this model, please install BERTopic:

```
pip install -U bertopic
```

You can use the model as follows:

```python
from bertopic import BERTopic
topic_model = BERTopic.load("ahessamb/bertopic-test_1010")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 10
* Number of training documents: 1570

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| 0 | ethereum - listings - market - eth - binance | 173 | 0_ethereum_listings_market_eth | 
| 1 | xrp - ripple - crypto - mekras - sbi | 93 | 1_xrp_ripple_crypto_mekras | 
| 2 | peaq - blockchain - nft - opensea - ordibots | 226 | 2_peaq_blockchain_nft_opensea | 
| 3 | crypto - regulatory - securities - coinbase - lawsuit | 204 | 3_crypto_regulatory_securities_coinbase | 
| 4 | binance - exchange - securities - sec - letter | 116 | 4_binance_exchange_securities_sec | 
| 5 | mutant - mayc - bayc - club - mcmullen | 95 | 5_mutant_mayc_bayc_club | 
| 6 | tether - yuan - games - bitcoin - cbdcs | 211 | 6_tether_yuan_games_bitcoin | 
| 7 | crypto - bills - exponential - markets - liquidity | 140 | 7_crypto_bills_exponential_markets | 
| 8 | ada - cardano - litecoin - resistance - market | 214 | 8_ada_cardano_litecoin_resistance | 
| 9 | shib - doge - shiba - sentiment - market | 98 | 9_shib_doge_shiba_sentiment |
  
</details>

## Training hyperparameters

* calculate_probabilities: False
* language: None
* low_memory: False
* min_topic_size: 10
* n_gram_range: (1, 1)
* nr_topics: None
* seed_topic_list: None
* top_n_words: 10
* verbose: False

## Framework versions

* Numpy: 1.22.4
* HDBSCAN: 0.8.29
* UMAP: 0.5.3
* Pandas: 1.5.3
* Scikit-Learn: 1.2.2
* Sentence-transformers: 2.2.2
* Transformers: 4.30.2
* Numba: 0.56.4
* Plotly: 5.13.1
* Python: 3.10.12