MARTINI_enrich_BERTopic_CHDEurope
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_CHDEurope")
topic_model.get_topic_info()
Topic overview
- Number of topics: 34
- Number of training documents: 2980
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | vaccine - mhra - deaths - adverse - 2022 | 20 | -1_vaccine_mhra_deaths_adverse |
| 0 | fauci - rfk - bioweapons - patriot - brennan | 1525 | 0_fauci_rfk_bioweapons_patriot |
| 1 | pandemics - treaty - sovereignty - amendment - geneva | 118 | 1_pandemics_treaty_sovereignty_amendment |
| 2 | glyphosate - toxic - aspartame - fluoride - causes | 106 | 2_glyphosate_toxic_aspartame_fluoride |
| 3 | cbdc - fed - banks - videos - economist | 106 | 3_cbdc_fed_banks_videos |
| 4 | miscarriages - vaccinated - pfizer - vaers - ovaries | 79 | 4_miscarriages_vaccinated_pfizer_vaers |
| 5 | 5g - radiofrequency - stralskyddsstiftelsen - icnirp - risks | 66 | 5_5g_radiofrequency_stralskyddsstiftelsen_icnirp |
| 6 | spikevax - immunisations - enfants - ccvag - advisory | 65 | 6_spikevax_immunisations_enfants_ccvag |
| 7 | nuremberg - ausschuss - swissmedic - nicht - corona | 64 | 7_nuremberg_ausschuss_swissmedic_nicht |
| 8 | vaccines - mrna - toxin - dangers - nanoparticles | 58 | 8_vaccines_mrna_toxin_dangers |
| 9 | pfizer - eu - leaked - fvd - representatives | 54 | 9_pfizer_eu_leaked_fvd |
| 10 | vaccinated - deaths - 2021 - flu - teenage | 52 | 10_vaccinated_deaths_2021_flu |
| 11 | tethers - mccollough - biometric - surveillance - passports | 51 | 11_tethers_mccollough_biometric_surveillance |
| 12 | netherlands - farmland - nitrogen - vlaardingerbroek - maanen | 45 | 12_netherlands_farmland_nitrogen_vlaardingerbroek |
| 13 | mp - vaccine - westminster - andrew - constituents | 42 | 13_mp_vaccine_westminster_andrew |
| 14 | verdict - prosecutor - bhakdi - stuttgart - holocaust | 39 | 14_verdict_prosecutor_bhakdi_stuttgart |
| 15 | childrenshealthdefense - chd - europe - merchandise - www | 35 | 15_childrenshealthdefense_chd_europe_merchandise |
| 16 | march - bbc - victims - trafalgar - boycott | 34 | 16_march_bbc_victims_trafalgar |
| 17 | vaers - 17yrs - died - injected - child | 34 | 17_vaers_17yrs_died_injected |
| 18 | unvax - thimerosal - autism - eczema - authored | 33 | 18_unvax_thimerosal_autism_eczema |
| 19 | censorship - euobserver - misinformation - bureaucrats - regulate | 32 | 19_censorship_euobserver_misinformation_bureaucrats |
| 20 | brussels - europeans - protest - unite - march | 31 | 20_brussels_europeans_protest_unite |
| 21 | myocarditis - impfstoffe - cdc - krankenhauseinweisungen - 2021 | 28 | 21_myocarditis_impfstoffe_cdc_krankenhauseinweisungen |
| 22 | scandinavianfreedomevents - nordfors - malmo - mikael - light | 28 | 22_scandinavianfreedomevents_nordfors_malmo_mikael |
| 23 | eu - mep - constitutions - digitalen - certificate | 28 | 23_eu_mep_constitutions_digitalen |
| 24 | chdeurope - children - mary - invitees - eniko_szatmari | 27 | 24_chdeurope_children_mary_invitees |
| 25 | 4covidethics - physicians - newsom - cfrs - enforcing | 26 | 25_4covidethics_physicians_newsom_cfrs |
| 26 | hpv - gardasil - quadrivalent - merck - sacrificialvirgins | 26 | 26_hpv_gardasil_quadrivalent_merck |
| 27 | environmentalists - climatologist - pseudoscience - co2 - globalisation | 23 | 27_environmentalists_climatologist_pseudoscience_co2 |
| 28 | translationteam - subtitles - chdeurope - volunteered - slovenian | 22 | 28_translationteam_subtitles_chdeurope_volunteered |
| 29 | zagreb - 2024 - livestream - pandemic - plasmids | 22 | 29_zagreb_2024_livestream_pandemic |
| 30 | nhs - ukcolumn - outbreak - penicillin - h1n2 | 21 | 30_nhs_ukcolumn_outbreak_penicillin |
| 31 | eudravigilance - datenaktualisierungen - impfung - nebenwirkungen - 2022 | 20 | 31_eudravigilance_datenaktualisierungen_impfung_nebenwirkungen |
| 32 | solari - farrell - sherri - heroic - followers | 20 | 32_solari_farrell_sherri_heroic |
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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