README.md

---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---

# MARTINI_enrich_BERTopic_DrPaulAlexander

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_DrPaulAlexander")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 64
* Number of training documents: 5766

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | unvaccinated - pfizer - lockdowns - injections - 2021 | 20 | -1_unvaccinated_pfizer_lockdowns_injections | 
| 0 | tranny - females - penises - vaginoplasty - dysphoria | 2790 | 0_tranny_females_penises_vaginoplasty | 
| 1 | fauci - deepstate - lockdowns - colluded - mengele | 162 | 1_fauci_deepstate_lockdowns_colluded | 
| 2 | mrna - biontech - injections - malone - inventors | 143 | 2_mrna_biontech_injections_malone | 
| 3 | pandemic - hoax - false - asymptomatic - never | 125 | 3_pandemic_hoax_false_asymptomatic | 
| 4 | monkeypox - hiv - gay - gonorrhoea - marburg | 124 | 4_monkeypox_hiv_gay_gonorrhoea | 
| 5 | zelensky - russia - volodymyr - missiles - kissinger | 103 | 5_zelensky_russia_volodymyr_missiles | 
| 6 | peters - drs - interviews - bellavia - maldonado | 89 | 6_peters_drs_interviews_bellavia | 
| 7 | myopericarditis - endomyocardial - vaccination - tamponade - mri | 84 | 7_myopericarditis_endomyocardial_vaccination_tamponade | 
| 8 | pilots - cockpit - plane - boeing - crashed | 77 | 8_pilots_cockpit_plane_boeing | 
| 9 | illegals - biden - invaded - jihadists - border | 76 | 9_illegals_biden_invaded_jihadists | 
| 10 | vaccination - thromboembolic - autoantibodies - vasculitis - c19 | 74 | 10_vaccination_thromboembolic_autoantibodies_vasculitis | 
| 11 | trudeau - vaccinal - njoo - truckers - sharma | 69 | 11_trudeau_vaccinal_njoo_truckers | 
| 12 | remdesivir - midazolam - euthanasia - iatrogenic - ventilator | 66 | 12_remdesivir_midazolam_euthanasia_iatrogenic | 
| 13 | coronaviruses - wuhan - chimeric - 2020 - wiv | 66 | 13_coronaviruses_wuhan_chimeric_2020 | 
| 14 | died - sudden - year - 44 - vandaelle | 63 | 14_died_sudden_year_44 | 
| 15 | naomi - innoculations - bannon - dailyclout - genocidal | 60 | 15_naomi_innoculations_bannon_dailyclout | 
| 16 | islamists - wolf - bataclan - migrant - europe | 58 | 16_islamists_wolf_bataclan_migrant | 
| 17 | subvariants - omicron - clade - ba5 - dominant | 57 | 17_subvariants_omicron_clade_ba5 | 
| 18 | immunization - pfizer - sids - shots - harmful | 57 | 18_immunization_pfizer_sids_shots | 
| 19 | shootings - officer - texas - dewitt - robbers | 56 | 19_shootings_officer_texas_dewitt | 
| 20 | maloney - breggins - lawsuit - oppenheimer - jane | 56 | 20_maloney_breggins_lawsuit_oppenheimer | 
| 21 | povidone - mouthwash - hypochlorite - nasal - ivermectin | 53 | 21_povidone_mouthwash_hypochlorite_nasal | 
| 22 | sarcoma - leukemias - glioblastoma - oncologist - rapid | 50 | 22_sarcoma_leukemias_glioblastoma_oncologist | 
| 23 | biden - republicans - mcconnell - teleprompter - midterms | 49 | 23_biden_republicans_mcconnell_teleprompter | 
| 24 | masks - toxic - cochrane - ineffectiveness - microplastic | 47 | 24_masks_toxic_cochrane_ineffectiveness | 
| 25 | deaths - vaccinated - eurostat - 2021 - kuhbandner | 45 | 25_deaths_vaccinated_eurostat_2021 | 
| 26 | vaccinations - miscarriage - decidual - dysmenorrhea - diethylstilbestrol | 43 | 26_vaccinations_miscarriage_decidual_dysmenorrhea | 
| 27 | fluorofentanyl - carfentanil - xylazine - naloxone - overdose | 39 | 27_fluorofentanyl_carfentanil_xylazine_naloxone | 
| 28 | lockdowns - tiananmen - shanghai - xi - lunatic | 39 | 28_lockdowns_tiananmen_shanghai_xi | 
| 29 | omicron - vaccination - booster - hansen - subvariants | 37 | 29_omicron_vaccination_booster_hansen | 
| 30 | fbi - trump - raided - defund - politicized | 37 | 30_fbi_trump_raided_defund | 
| 31 | antibodies - naturally - reinfection - documented - sars | 36 | 31_antibodies_naturally_reinfection_documented | 
| 32 | harvard - plagiarized - claudine - zakaria - antisemite | 34 | 32_harvard_plagiarized_claudine_zakaria | 
| 33 | vaccinated - omicron - prophylaxis - nigeria - deaths | 34 | 33_vaccinated_omicron_prophylaxis_nigeria | 
| 34 | kennedy - kwiatkowski - prasad - mkultra - partisan | 34 | 34_kennedy_kwiatkowski_prasad_mkultra | 
| 35 | pfizer - deathvax - defrauded - ombudsman - bla | 34 | 35_pfizer_deathvax_defrauded_ombudsman | 
| 36 | bengals - myocarditis - cornerback - xfl - demarcus | 33 | 36_bengals_myocarditis_cornerback_xfl | 
| 37 | djokovic - champion - mcenroe - kelce - superbowl | 33 | 37_djokovic_champion_mcenroe_kelce | 
| 38 | nattokinase - detoxifier - spike - acetylcysteine - anticoagulant | 32 | 38_nattokinase_detoxifier_spike_acetylcysteine | 
| 39 | vaers - adenovirus - adverse - astrazeneca - pneumoniae | 29 | 39_vaers_adenovirus_adverse_astrazeneca | 
| 40 | mccullough - peter - investigator - cardiologist - tacit | 28 | 40_mccullough_peter_investigator_cardiologist | 
| 41 | trump - reelected - maddow - politicized - ramaswamy | 28 | 41_trump_reelected_maddow_politicized | 
| 42 | florida - surgeon - desantis - joe - walensky | 27 | 42_florida_surgeon_desantis_joe | 
| 43 | horsemen - apocalpse - plague - 33 - horrendous | 27 | 43_horsemen_apocalpse_plague_33 | 
| 44 | omicron - bivalent - ba5 - updated - 2023 | 27 | 44_omicron_bivalent_ba5_updated | 
| 45 | hamas - israeli - yehuda - pogrom - invaders | 27 | 45_hamas_israeli_yehuda_pogrom | 
| 46 | pedophiles - pope - scandalizing - corrupters - nuns | 26 | 46_pedophiles_pope_scandalizing_corrupters | 
| 47 | remdesivir - hydroxychloroquine - tamiflu - zanamivir - pharmacovigilance | 26 | 47_remdesivir_hydroxychloroquine_tamiflu_zanamivir | 
| 48 | inflation - biden - plummets - trillion - binance | 25 | 48_inflation_biden_plummets_trillion | 
| 49 | nagase - coulson - everybody - malhotra - stacks | 24 | 49_nagase_coulson_everybody_malhotra | 
| 50 | tribunals - hanged - jailed - punish - amnesty | 24 | 50_tribunals_hanged_jailed_punish | 
| 51 | ottawa - james - tomb - marched - veteran | 23 | 51_ottawa_james_tomb_marched | 
| 52 | fauci - virulent - evolve - injecting - chemoprophylaxis | 23 | 52_fauci_virulent_evolve_injecting | 
| 53 | semaglutide - ozempic - insulin - hypoglycemia - pancreatitis | 23 | 53_semaglutide_ozempic_insulin_hypoglycemia | 
| 54 | vaccinee - chemoprophylaxis - immunological - pediatricians - rennebohm | 23 | 54_vaccinee_chemoprophylaxis_immunological_pediatricians | 
| 55 | sars - antigens - sequelae - persistent - exosomes | 23 | 55_sars_antigens_sequelae_persistent | 
| 56 | twitter - musk - dorsey - zuckerberg - banned | 23 | 56_twitter_musk_dorsey_zuckerberg | 
| 57 | liposome - exosomes - nanoparticles - lnp - lymphocytes | 22 | 57_liposome_exosomes_nanoparticles_lnp | 
| 58 | amnesty - covidian - emma - wrongdoers - forgive | 22 | 58_amnesty_covidian_emma_wrongdoers | 
| 59 | vaccinating - maternal - pfizer - pertussis - neonates | 22 | 59_vaccinating_maternal_pfizer_pertussis | 
| 60 | endothelial - sars - sialylated - pathogenesis - hypercoagulation | 20 | 60_endothelial_sars_sialylated_pathogenesis | 
| 61 | biden - indicted - bribery - impeach - ukraine | 20 | 61_biden_indicted_bribery_impeach | 
| 62 | myopericarditis - pfizer - adolescent - ekg - thailand | 20 | 62_myopericarditis_pfizer_adolescent_ekg |
  
</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