MARTINI_enrich_BERTopic_hiddeninplainsight1
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_hiddeninplainsight1")
topic_model.get_topic_info()
Topic overview
- Number of topics: 41
- Number of training documents: 4643
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | vaccinated - pandemic - deaths - 2021 - mrna | 20 | -1_vaccinated_pandemic_deaths_2021 |
| 0 | transgenderism - lgbtq - pedophiles - brainwashing - god | 2590 | 0_transgenderism_lgbtq_pedophiles_brainwashing |
| 1 | invincible - unshakeable - champion - hope - moments | 168 | 1_invincible_unshakeable_champion_hope |
| 2 | zealanders - christchurch - terrorist - devastation - deported | 144 | 2_zealanders_christchurch_terrorist_devastation |
| 3 | police - australians - violently - toowoomba - tyranny | 134 | 3_police_australians_violently_toowoomba |
| 4 | iphone - radiofrequency - cancers - dangerous - 5g | 114 | 4_iphone_radiofrequency_cancers_dangerous |
| 5 | illuminati - pedophiles - trafficking - cannibalism - satanic | 76 | 5_illuminati_pedophiles_trafficking_cannibalism |
| 6 | detoxing - fulvic - chelates - glutathione - themiracledirt | 72 | 6_detoxing_fulvic_chelates_glutathione |
| 7 | vaccinating - fauci - jabs - deaf - simpsons | 65 | 7_vaccinating_fauci_jabs_deaf |
| 8 | cashless - banks - withdrawals - coinbase - donations | 64 | 8_cashless_banks_withdrawals_coinbase |
| 9 | propolis - glutathione - remedies - garlic - poisoned | 63 | 9_propolis_glutathione_remedies_garlic |
| 10 | robodogs - sniper - webcams - smartphones - unmanned | 61 | 10_robodogs_sniper_webcams_smartphones |
| 11 | fluoridated - poison - cereals - monsanto - coca | 58 | 11_fluoridated_poison_cereals_monsanto |
| 12 | floods - austria - wildfires - chemtrails - devastating | 57 | 12_floods_austria_wildfires_chemtrails |
| 13 | myocarditis - pfizer - injections - clots - cyanotic | 55 | 13_myocarditis_pfizer_injections_clots |
| 14 | vaccinated - deaths - boosters - boris - doses | 51 | 14_vaccinated_deaths_boosters_boris |
| 15 | grubs - cannibalism - meal - suckers - hungry | 51 | 15_grubs_cannibalism_meal_suckers |
| 16 | australia - doctors - vaxxination - lockdown - bureaucrats | 50 | 16_australia_doctors_vaxxination_lockdown |
| 17 | pcr - nasopharyngeal - swabs - test - pineal | 47 | 17_pcr_nasopharyngeal_swabs_test |
| 18 | queensland - vaccinations - lockdown - mandatory - constitutional | 47 | 18_queensland_vaccinations_lockdown_mandatory |
| 19 | biden - cronies - cambodia - teleprompter - clown | 45 | 19_biden_cronies_cambodia_teleprompter |
| 20 | snitch - pedos - discredit - fbi - executions | 43 | 20_snitch_pedos_discredit_fbi |
| 21 | usda - famines - rationed - beans - supermarkets | 41 | 21_usda_famines_rationed_beans |
| 22 | gates - billions - zika - vaccinate - younggloballeader | 37 | 22_gates_billions_zika_vaccinate |
| 23 | quarantine - taiwan - shenzhen - weibo - test | 36 | 23_quarantine_taiwan_shenzhen_weibo |
| 24 | surveillance - australia - chinafication - wechat - fingerprint | 36 | 24_surveillance_australia_chinafication_wechat |
| 25 | pilots - inflight - qantas - mh370 - crash | 36 | 25_pilots_inflight_qantas_mh370 |
| 26 | climate - co2 - thunberg - hoax - mccarthy | 34 | 26_climate_co2_thunberg_hoax |
| 27 | gmo - biosludge - corpses - fake - dissolved | 34 | 27_gmo_biosludge_corpses_fake |
| 28 | remdesivir - ivermectine - hcq - intravenous - dexamethasone | 31 | 28_remdesivir_ivermectine_hcq_intravenous |
| 29 | grapheneagenda - nanoparticles - adjuvant - magnetized - toxicity | 30 | 29_grapheneagenda_nanoparticles_adjuvant_magnetized |
| 30 | doctors - malpractice - rage - whistleblower - wtaf | 28 | 30_doctors_malpractice_rage_whistleblower |
| 31 | deleted - messages - banned - unfollow - spammer | 28 | 31_deleted_messages_banned_unfollow |
| 32 | pfizer - doctored - miscarriages - shots - nurtec | 28 | 32_pfizer_doctored_miscarriages_shots |
| 33 | hillary - trafficking - epstein - fbi - revealed | 27 | 33_hillary_trafficking_epstein_fbi |
| 34 | maskitis - pneumonia - oxygen - vaxxinated - mold | 25 | 34_maskitis_pneumonia_oxygen_vaxxinated |
| 35 | fires - chickens - smoldering - explosion - fertilizer | 24 | 35_fires_chickens_smoldering_explosion |
| 36 | cyberpandemic - attacks - sabotaged - decentralized - russia | 24 | 36_cyberpandemic_attacks_sabotaged_decentralized |
| 37 | trudeau - ottawa - dissidents - saskatchewan - blockade | 24 | 37_trudeau_ottawa_dissidents_saskatchewan |
| 38 | telegram - deleting - censorship - hiddenvideos - encrypted | 23 | 38_telegram_deleting_censorship_hiddenvideos |
| 39 | melatonin - morocco - harmful - shield - orgone | 22 | 39_melatonin_morocco_harmful_shield |
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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