| |
|
| | --- |
| | tags: |
| | - bertopic |
| | library_name: bertopic |
| | pipeline_tag: text-classification |
| | --- |
| | |
| | # MARTINI_enrich_BERTopic_BLUEPRINT_Q |
| |
|
| | 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_BLUEPRINT_Q") |
| | |
| | topic_model.get_topic_info() |
| | ``` |
| |
|
| | ## Topic overview |
| |
|
| | * Number of topics: 14 |
| | * Number of training documents: 1373 |
| |
|
| | <details> |
| | <summary>Click here for an overview of all topics.</summary> |
| | |
| | | Topic ID | Topic Keywords | Topic Frequency | Label | |
| | |----------|----------------|-----------------|-------| |
| | | -1 | patriot - slaves - trump - overthrow - constitution | 23 | -1_patriot_slaves_trump_overthrow | |
| | | 0 | trump - tyranny - undefeated - stratagem - jackson | 823 | 0_trump_tyranny_undefeated_stratagem | |
| | | 1 | liberty - founders - believed - revelation - 1776 | 79 | 1_liberty_founders_believed_revelation | |
| | | 2 | ballots - corrupt - hobbs - governor - maricopa | 67 | 2_ballots_corrupt_hobbs_governor | |
| | | 3 | fbi - clinton - dossier - allegations - sussman | 61 | 3_fbi_clinton_dossier_allegations | |
| | | 4 | fauci - vaccinated - pfizer - hydroxychloroquine - antibodies | 59 | 4_fauci_vaccinated_pfizer_hydroxychloroquine | |
| | | 5 | putin - mariupol - bioweapons - fauci - fascists | 46 | 5_putin_mariupol_bioweapons_fauci | |
| | | 6 | trump - clintons - epstein - cnn - trafficking | 45 | 6_trump_clintons_epstein_cnn | |
| | | 7 | andweknow - patriot - salute - awesome - nazis | 34 | 7_andweknow_patriot_salute_awesome | |
| | | 8 | qanon - twitter - awakening - campaign - false | 31 | 8_qanon_twitter_awakening_campaign | |
| | | 9 | imposter - scam - telegram - unwatermarked - zelenko | 28 | 9_imposter_scam_telegram_unwatermarked | |
| | | 10 | republicans - mccarthy - ballot - cosponsored - committees | 28 | 10_republicans_mccarthy_ballot_cosponsored | |
| | | 11 | counterinsurgency - treason - nsa - dod - government | 26 | 11_counterinsurgency_treason_nsa_dod | |
| | | 12 | lgbtq - pedophile - genderism - communists - progressive | 23 | 12_lgbtq_pedophile_genderism_communists | |
| | |
| | </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 |
| | |
