MARTINI_enrich_BERTopic_CoronvirusPlushie
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_CoronvirusPlushie")
topic_model.get_topic_info()
Topic overview
- Number of topics: 31
- Number of training documents: 3766
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | unvaccinated - pfizer - counterspinmedia - nzs - mandates | 20 | -1_unvaccinated_pfizer_counterspinmedia_nzs |
| 0 | masks - epidemiologist - mandated - exemptions - michael | 2101 | 0_masks_epidemiologist_mandated_exemptions |
| 1 | deaths - vaccinated - hospitalisations - 2021 - counted | 211 | 1_deaths_vaccinated_hospitalisations_2021 |
| 2 | hamas - israelis - terrorists - bombed - wars | 146 | 2_hamas_israelis_terrorists_bombed |
| 3 | zealand - newsom - jacinda - vaccinated - omicron | 97 | 3_zealand_newsom_jacinda_vaccinated |
| 4 | myocarditis - pfizer - injection - aorta - clots | 89 | 4_myocarditis_pfizer_injection_aorta |
| 5 | thumbing - newshub - youtube - yesterdays - dislikes | 86 | 5_thumbing_newshub_youtube_yesterdays |
| 6 | vaccinologist - guillain - plunkett - conspiracy - nzdsos | 77 | 6_vaccinologist_guillain_plunkett_conspiracy |
| 7 | zealand - protestors - parliament - march - 2022 | 72 | 7_zealand_protestors_parliament_march |
| 8 | voicesforfreedom - playon - taranaki - activities - marches | 64 | 8_voicesforfreedom_playon_taranaki_activities |
| 9 | pseudopandemic - fauci - conspirators - fraud - massey | 61 | 9_pseudopandemic_fauci_conspirators_fraud |
| 10 | fauci - pcr - asymptomatic - false - mike | 59 | 10_fauci_pcr_asymptomatic_false |
| 11 | davos - passport - biometric - microchip - eid | 54 | 11_davos_passport_biometric_microchip |
| 12 | parliament - pandemic - globalists - monkeypox - amendments | 53 | 12_parliament_pandemic_globalists_monkeypox |
| 13 | videos - watched - tik - uploaded - shared | 48 | 13_videos_watched_tik_uploaded |
| 14 | unvaccinated - worksafe - mandated - zealanders - nurse | 48 | 14_unvaccinated_worksafe_mandated_zealanders |
| 15 | savebabywill - unvaccinated - transfusions - counterspinmedia - auckland | 45 | 15_savebabywill_unvaccinated_transfusions_counterspinmedia |
| 16 | democracynz - voters - independents - nominations - councillors | 45 | 16_democracynz_voters_independents_nominations |
| 17 | counterspinmedia - christchurch - alleged - kelvyn - terrorist | 41 | 17_counterspinmedia_christchurch_alleged_kelvyn |
| 18 | bullshit - dissenters - disinformation - oppressed - populist | 38 | 18_bullshit_dissenters_disinformation_oppressed |
| 19 | pfizer - zealanders - nzdsos - whistleblowers - nurses | 37 | 19_pfizer_zealanders_nzdsos_whistleblowers |
| 20 | vaccinations - pfizer - risks - bivalent - child | 35 | 20_vaccinations_pfizer_risks_bivalent |
| 21 | robertfkennedyjr - fauci - hannity - ukraine - jake | 35 | 21_robertfkennedyjr_fauci_hannity_ukraine |
| 22 | pfizer - mrna - mutagenesis - brca - contaminated | 32 | 22_pfizer_mrna_mutagenesis_brca |
| 23 | telegram - videos - followers - muting - spamming | 28 | 23_telegram_videos_followers_muting |
| 24 | atman - consciousness - bodha - sanskrit - brain | 26 | 24_atman_consciousness_bodha_sanskrit |
| 25 | technocracy - coup - un2030 - currencies - catherine | 25 | 25_technocracy_coup_un2030_currencies |
| 26 | australians - protesters - tyranny - worldwide - reignite | 24 | 26_australians_protesters_tyranny_worldwide |
| 27 | pfizer - chairman - thompson - bongino - veritastips | 24 | 27_pfizer_chairman_thompson_bongino |
| 28 | protest - london - march - footage - lockdown | 23 | 28_protest_london_march_footage |
| 29 | convoy - wellington - 2022nz - greymouth - kaiapoi | 22 | 29_convoy_wellington_2022nz_greymouth |
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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