MARTINI_enrich_BERTopic_craigkelly
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_craigkelly")
topic_model.get_topic_info()
Topic overview
- Number of topics: 31
- Number of training documents: 3382
Click here for an overview of all topics.
Topic ID | Topic Keywords | Topic Frequency | Label |
---|---|---|---|
-1 | vaccinated - ivermectin - australians - lies - 2021 | 20 | -1_vaccinated_ivermectin_australians_lies |
0 | nsw - voting - macquarie - victoria - liberty | 1530 | 0_nsw_voting_macquarie_victoria |
1 | renewables - power - subsidies - blackout - mwh | 189 | 1_renewables_power_subsidies_blackout |
2 | censorship - facebook - fascist - orwell - parliament | 183 | 2_censorship_facebook_fascist_orwell |
3 | temperatures - heatwave - sydney - hottest - bom | 111 | 3_temperatures_heatwave_sydney_hottest |
4 | deaths - vaccination - august - shockingly - 2023 | 101 | 4_deaths_vaccination_august_shockingly |
5 | vaxinists - brainwashed - injected - moloch - babies | 93 | 5_vaxinists_brainwashed_injected_moloch |
6 | mandates - novax - sacking - injected - coercive | 92 | 6_mandates_novax_sacking_injected |
7 | masks - schools - co2 - forced - ignorance | 81 | 7_masks_schools_co2_forced |
8 | pfizer - liars - defrauded - lawsuit - francis | 76 | 8_pfizer_liars_defrauded_lawsuit |
9 | victoria - melbourne - arrest - dictatorial - protesting | 74 | 9_victoria_melbourne_arrest_dictatorial |
10 | hydroxychloroquine - ivermectin - azithromycin - queensland - dosages | 70 | 10_hydroxychloroquine_ivermectin_azithromycin_queensland |
11 | ivermectin - remdesivir - australians - banned - prescribed | 67 | 11_ivermectin_remdesivir_australians_banned |
12 | climate - alarmists - greenpeace - bushfires - cyclones | 67 | 12_climate_alarmists_greenpeace_bushfires |
13 | spikevax - australians - injected - myocarditis - malfeasance | 66 | 13_spikevax_australians_injected_myocarditis |
14 | vaxed - lockdowns - debunked - inject - infections | 64 | 14_vaxed_lockdowns_debunked_inject |
15 | vaxx - parliament - passport - alberta - enforcing | 61 | 15_vaxx_parliament_passport_alberta |
16 | ivermectin - studies - placebo - denied - idiots | 40 | 16_ivermectin_studies_placebo_denied |
17 | australians - referendum - campaigners - uluru - divisive | 40 | 17_australians_referendum_campaigners_uluru |
18 | vaccines - dr - fda - malhotra - cardiologist | 38 | 18_vaccines_dr_fda_malhotra |
19 | fascists - freedom - totalitarian - rallying - demolish | 36 | 19_fascists_freedom_totalitarian_rallying |
20 | myocarditis - cpr - injections - 2021 - peaked | 35 | 20_myocarditis_cpr_injections_2021 |
21 | misinformers - abc - protests - melbourne - simulcast | 35 | 21_misinformers_abc_protests_melbourne |
22 | vaccinated - passports - virals - brainwashed - untruths | 33 | 22_vaccinated_passports_virals_brainwashed |
23 | hippocratic - brisbane - denouncing - lockdowns - bureaucrats | 30 | 23_hippocratic_brisbane_denouncing_lockdowns |
24 | globalists - wef - liberties - wealth - agenda | 29 | 24_globalists_wef_liberties_wealth |
25 | miscarriages - pfizer - sperm - injections - implantation | 28 | 25_miscarriages_pfizer_sperm_injections |
26 | unvaxed - covidiot - hospitalisations - nsw - quadrupled | 25 | 26_unvaxed_covidiot_hospitalisations_nsw |
27 | antivax - vitamin - preventable - deficiency - sunlight | 25 | 27_antivax_vitamin_preventable_deficiency |
28 | vaxinists - injected - 4th - orwellian - forced | 22 | 28_vaxinists_injected_4th_orwellian |
29 | coolum - mccann - dr - eventbrite - presenters | 21 | 29_coolum_mccann_dr_eventbrite |
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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