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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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# MARTINI_enrich_BERTopic_TruthHammer |
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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("AIDA-UPM/MARTINI_enrich_BERTopic_TruthHammer") |
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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: 18 |
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* Number of training documents: 1748 |
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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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| -1 | biden - fbi - military - truth - flynn | 25 | -1_biden_fbi_military_truth | |
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| 0 | ballots - falsified - georgia - raffensperger - audit | 976 | 0_ballots_falsified_georgia_raffensperger | |
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| 1 | globalists - illuminati - fauci - news - hearst | 107 | 1_globalists_illuminati_fauci_news | |
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| 2 | truthhammer - haha - bitches - hopefully - scammers | 86 | 2_truthhammer_haha_bitches_hopefully | |
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| 3 | twitter - musk - carlson - censorship - revealed | 74 | 3_twitter_musk_carlson_censorship | |
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| 4 | transphobia - pervert - backlash - terrorists - liberal | 64 | 4_transphobia_pervert_backlash_terrorists | |
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| 5 | god - prayers - miracles - freedom - lucifer | 50 | 5_god_prayers_miracles_freedom | |
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| 6 | donald - speaker - mccarthy - jim - meme | 43 | 6_donald_speaker_mccarthy_jim | |
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| 7 | desantis - ronnie - desanctimonious - loser - nominee | 42 | 7_desantis_ronnie_desanctimonious_loser | |
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| 8 | perjury - indicted - pelosi - j6 - footage | 39 | 8_perjury_indicted_pelosi_j6 | |
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| 9 | rfk - democrats - bernie - bannon - potentially | 35 | 9_rfk_democrats_bernie_bannon | |
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| 10 | doj - prosecutions - durham - whatchagonnadoaboutit - unsubstantiated | 33 | 10_doj_prosecutions_durham_whatchagonnadoaboutit | |
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| 11 | fakemocracy - president - amendments - tucker - polk | 32 | 11_fakemocracy_president_amendments_tucker | |
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| 12 | hamas - gaza - israeli - atrocities - civilians | 31 | 12_hamas_gaza_israeli_atrocities | |
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| 13 | ukraine - zelensky - kakhovka - sabotaged - headlines | 30 | 13_ukraine_zelensky_kakhovka_sabotaged | |
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| 14 | biden - whistleblower - bribery - investigations - ukraine | 27 | 14_biden_whistleblower_bribery_investigations | |
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| 15 | nani - lahaina - governor - sister - oprah | 27 | 15_nani_lahaina_governor_sister | |
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| 16 | truthhammershop - shirts - mug - order - honduras | 27 | 16_truthhammershop_shirts_mug_order | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: True |
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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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* zeroshot_min_similarity: 0.7 |
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* zeroshot_topic_list: None |
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## Framework versions |
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* Numpy: 1.26.4 |
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* HDBSCAN: 0.8.40 |
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* UMAP: 0.5.7 |
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* Pandas: 2.2.3 |
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* Scikit-Learn: 1.5.2 |
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* Sentence-transformers: 3.3.1 |
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* Transformers: 4.46.3 |
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* Numba: 0.60.0 |
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* Plotly: 5.24.1 |
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* Python: 3.10.12 |
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