MARTINI_enrich_BERTopic_anto_boyle_channel
This is a 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:
from bertopic import BERTopic
topic_model = BERTopic.load("AIDA-UPM/MARTINI_enrich_BERTopic_anto_boyle_channel")
topic_model.get_topic_info()
Topic overview
- Number of topics: 24
- Number of training documents: 3064
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | ukraine - dublin - hold - saturday - antoboyle1 | 20 | -1_ukraine_dublin_hold_saturday |
| 0 | migrants - galway - amnesty - ukrainians - protests | 1436 | 0_migrants_galway_amnesty_ukrainians |
| 1 | fauci - pandemic - unvaccinated - illuminati - masks | 233 | 1_fauci_pandemic_unvaccinated_illuminati |
| 2 | ukraine - warsaw - andrzej - farmers - brussels | 173 | 2_ukraine_warsaw_andrzej_farmers |
| 3 | bundeswehr - putin - ukraine - missiles - leaked | 135 | 3_bundeswehr_putin_ukraine_missiles |
| 4 | gaza - hamas - netanyahu - jerusalem - civilians | 126 | 4_gaza_hamas_netanyahu_jerusalem |
| 5 | paedophiles - lgbtqia - schools - irish - transvestite | 99 | 5_paedophiles_lgbtqia_schools_irish |
| 6 | russia - shoigu - superweapon - sarmat - satellites | 91 | 6_russia_shoigu_superweapon_sarmat |
| 7 | ukraine - zelensky - biden - congressmen - pentagon | 75 | 7_ukraine_zelensky_biden_congressmen |
| 8 | sanctions - gazprom - eu - slovakia - export | 64 | 8_sanctions_gazprom_eu_slovakia |
| 9 | dublin - heuston - rathfarnham - landmark - 1916 | 59 | 9_dublin_heuston_rathfarnham_landmark |
| 10 | antoboyle1 - chat - donate - websites - epstein | 57 | 10_antoboyle1_chat_donate_websites |
| 11 | donetsk - missiles - zaporizhzhya - paratroopers - drone | 56 | 11_donetsk_missiles_zaporizhzhya_paratroopers |
| 12 | ukraine - macron - france - nato - soldiers | 56 | 12_ukraine_macron_france_nato |
| 13 | chatroom - invite - hey - anthony - whatsapp | 55 | 13_chatroom_invite_hey_anthony |
| 14 | trump - supreme - judges - elected - overturned | 52 | 14_trump_supreme_judges_elected |
| 15 | navalny - litvinenko - kremlin - yeltsin - peskov | 51 | 15_navalny_litvinenko_kremlin_yeltsin |
| 16 | sanctions - assets - yellen - confiscating - lipetsk | 46 | 16_sanctions_assets_yellen_confiscating |
| 17 | yemen - tankers - airstrikes - suez - submarine | 39 | 17_yemen_tankers_airstrikes_suez |
| 18 | irishfreedomradio - livestreaming - deirdre - 9pm - fitzsimmons | 35 | 18_irishfreedomradio_livestreaming_deirdre_9pm |
| 19 | ukraine - munitions - eu - prague - dmytro | 29 | 19_ukraine_munitions_eu_prague |
| 20 | avdeyevka - donetsk - semyonovka - kupyansk - regiment | 29 | 20_avdeyevka_donetsk_semyonovka_kupyansk |
| 21 | raped - kidnapped - ostrava - arrested - police | 25 | 21_raped_kidnapped_ostrava_arrested |
| 22 | kuzminov - spaniards - defector - murdered - helicopter | 23 | 22_kuzminov_spaniards_defector_murdered |
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
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