MARTINI_enrich_BERTopic_mediaandcensoring
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_mediaandcensoring")
topic_model.get_topic_info()
Topic overview
- Number of topics: 19
- Number of training documents: 2142
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | bbc - putin - misinformation - banned - tiktok | 22 | -1_bbc_putin_misinformation_banned |
| 0 | whatsapp - spying - vpn - honeypot - mail | 1197 | 0_whatsapp_spying_vpn_honeypot |
| 1 | wikileaks - extradition - mossad - prisoner - belmarsh | 104 | 1_wikileaks_extradition_mossad_prisoner |
| 2 | zakharova - russia - sputnik - lithuania - journalists | 91 | 2_zakharova_russia_sputnik_lithuania |
| 3 | donetsk - mariupol - journalists - atrocities - slavyansk | 86 | 3_donetsk_mariupol_journalists_atrocities |
| 4 | gaza - palestinians - israelis - journalists - ukrainehumanrightsabuses | 82 | 4_gaza_palestinians_israelis_journalists |
| 5 | ukraine - missiles - fakes - bayraktar - firefighters | 75 | 5_ukraine_missiles_fakes_bayraktar |
| 6 | propaganda - dictatorship - psychopathic - gaslight - consciousness | 57 | 6_propaganda_dictatorship_psychopathic_gaslight |
| 7 | musk - twitterigtruth - msnbc - soros - fired | 54 | 7_musk_twitterigtruth_msnbc_soros |
| 8 | infodemic - fauci - plandemic - ivermectin - monkeypox | 54 | 8_infodemic_fauci_plandemic_ivermectin |
| 9 | ukraine - luhansk - russians - kherson - counteroffensive | 50 | 9_ukraine_luhansk_russians_kherson |
| 10 | bbcisthevirus - cnn - worldwidedemonstration - radio - salford | 49 | 10_bbcisthevirus_cnn_worldwidedemonstration_radio |
| 11 | nazies - ukrainehumanrightsabuses - zelenskiy - sarmatians - whitewashing | 39 | 11_nazies_ukrainehumanrightsabuses_zelenskiy_sarmatians |
| 12 | tucker - cnn - conservative - redacted - viewership | 38 | 12_tucker_cnn_conservative_redacted |
| 13 | slander - murdoch - sanctioning - sunak - partygate | 36 | 13_slander_murdoch_sanctioning_sunak |
| 14 | bbc - agentsoftruth - alarmism - mi5 - thelightpaperdistribution | 34 | 14_bbc_agentsoftruth_alarmism_mi5 |
| 15 | youtube - weforum - misinformation - deleted - senate | 28 | 15_youtube_weforum_misinformation_deleted |
| 16 | disinformation - biden - dhs - jankowicz - secretary | 23 | 16_disinformation_biden_dhs_jankowicz |
| 17 | tweets - suspended - musk - spamming - radicalization | 23 | 17_tweets_suspended_musk_spamming |
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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