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--- |
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tags: |
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- bertopic |
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library_name: bertopic |
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pipeline_tag: text-classification |
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--- |
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# bertopic-test_1010 |
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. |
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. |
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## Usage |
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To use this model, please install BERTopic: |
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``` |
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pip install -U bertopic |
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``` |
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You can use the model as follows: |
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```python |
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from bertopic import BERTopic |
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topic_model = BERTopic.load("ahessamb/bertopic-test_1010") |
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topic_model.get_topic_info() |
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``` |
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## Topic overview |
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* Number of topics: 10 |
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* Number of training documents: 1570 |
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<details> |
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<summary>Click here for an overview of all topics.</summary> |
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| Topic ID | Topic Keywords | Topic Frequency | Label | |
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|----------|----------------|-----------------|-------| |
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| 0 | ethereum - listings - market - eth - binance | 173 | 0_ethereum_listings_market_eth | |
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| 1 | xrp - ripple - crypto - mekras - sbi | 93 | 1_xrp_ripple_crypto_mekras | |
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| 2 | peaq - blockchain - nft - opensea - ordibots | 226 | 2_peaq_blockchain_nft_opensea | |
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| 3 | crypto - regulatory - securities - coinbase - lawsuit | 204 | 3_crypto_regulatory_securities_coinbase | |
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| 4 | binance - exchange - securities - sec - letter | 116 | 4_binance_exchange_securities_sec | |
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| 5 | mutant - mayc - bayc - club - mcmullen | 95 | 5_mutant_mayc_bayc_club | |
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| 6 | tether - yuan - games - bitcoin - cbdcs | 211 | 6_tether_yuan_games_bitcoin | |
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| 7 | crypto - bills - exponential - markets - liquidity | 140 | 7_crypto_bills_exponential_markets | |
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| 8 | ada - cardano - litecoin - resistance - market | 214 | 8_ada_cardano_litecoin_resistance | |
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| 9 | shib - doge - shiba - sentiment - market | 98 | 9_shib_doge_shiba_sentiment | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: False |
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* language: None |
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* low_memory: False |
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* min_topic_size: 10 |
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* n_gram_range: (1, 1) |
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* nr_topics: None |
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* seed_topic_list: None |
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* top_n_words: 10 |
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* verbose: False |
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## Framework versions |
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* Numpy: 1.22.4 |
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* HDBSCAN: 0.8.29 |
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* UMAP: 0.5.3 |
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* Pandas: 1.5.3 |
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* Scikit-Learn: 1.2.2 |
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* Sentence-transformers: 2.2.2 |
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* Transformers: 4.30.2 |
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* Numba: 0.56.4 |
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* Plotly: 5.13.1 |
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* Python: 3.10.12 |
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