| |
|
| | --- |
| | tags: |
| | - bertopic |
| | library_name: bertopic |
| | pipeline_tag: text-classification |
| | --- |
| | |
| | # MARTINI_enrich_BERTopic_ActiveClubXIV |
| | |
| | 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_ActiveClubXIV") |
| | |
| | topic_model.get_topic_info() |
| | ``` |
| | |
| | ## Topic overview |
| | |
| | * Number of topics: 15 |
| | * Number of training documents: 1103 |
| | |
| | <details> |
| | <summary>Click here for an overview of all topics.</summary> |
| | |
| | | Topic ID | Topic Keywords | Topic Frequency | Label | |
| | |----------|----------------|-----------------|-------| |
| | | -1 | antifa - patriot - fight - zealandia - live | 20 | -1_antifa_patriot_fight_zealandia | |
| | | 0 | commemoration - comrades - kosovo - marched - athens | 564 | 0_commemoration_comrades_kosovo_marched | |
| | | 1 | motto - nietzsche - legion - struggle - victory | 79 | 1_motto_nietzsche_legion_struggle | |
| | | 2 | clubs - activities - brotherhood - canadian - accomplish | 57 | 2_clubs_activities_brotherhood_canadian | |
| | | 3 | will2rise - shopw2r - shirts - asgardbrand - website | 54 | 3_will2rise_shopw2r_shirts_asgardbrand | |
| | | 4 | activitist - active_club_latvia - protonmail - mayday - stencil | 48 | 4_activitist_active_club_latvia_protonmail_mayday | |
| | | 5 | indiana - nationalists - protesters - white - gathered | 41 | 5_indiana_nationalists_protesters_white | |
| | | 6 | nationalistes - bulgarie - groupe - musculaire - activites | 37 | 6_nationalistes_bulgarie_groupe_musculaire | |
| | | 7 | kampf - antifa - legiohungaria - madrid - apoel | 37 | 7_kampf_antifa_legiohungaria_madrid | |
| | | 8 | mindset - strive - warrior - exercise - stronger | 34 | 8_mindset_strive_warrior_exercise | |
| | | 9 | media2rise - upcoming - documentary - patriot - journalist | 33 | 9_media2rise_upcoming_documentary_patriot | |
| | | 10 | australians - tribe - eam - qld - organisations | 26 | 10_australians_tribe_eam_qld | |
| | | 11 | activists - patriot - rallies - marched - illinois | 26 | 11_activists_patriot_rallies_marched | |
| | | 12 | antifa - rioters - arrests - robert - defendants | 25 | 12_antifa_rioters_arrests_robert | |
| | | 13 | nationalist - activists - brotherhood - guerilla - edge | 22 | 13_nationalist_activists_brotherhood_guerilla | |
| | |
| | </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 |
| | |
