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