MARTINI_enrich_BERTopic_Anti_Feminist_Gang
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_Anti_Feminist_Gang")
topic_model.get_topic_info()
Topic overview
- Number of topics: 42
- Number of training documents: 6617
Click here for an overview of all topics.
Topic ID | Topic Keywords | Topic Frequency | Label |
---|---|---|---|
-1 | rape - feminst - पर - raha - india | 21 | -1_rape_feminst_पर_raha |
0 | feminsts - misogynist - ladkiyon - isliye - chanakya | 3753 | 0_feminsts_misogynist_ladkiyon_isliye |
1 | ladkiyan - bhai - dekho - durga - priyadarshani | 270 | 1_ladkiyan_bhai_dekho_durga |
2 | hindus - jainism - sanatana - atharveda - atheistic | 234 | 2_hindus_jainism_sanatana_atharveda |
3 | promiscuity - virginity - marry - oxytocin - brahmachraya | 212 | 3_promiscuity_virginity_marry_oxytocin |
4 | antihindu - bjp - jihad - hitler - modi | 204 | 4_antihindu_bjp_jihad_hitler |
5 | shaadi - bhai - vivah - rahul - brahmachraya | 141 | 5_shaadi_bhai_vivah_rahul |
6 | hypergamy - attractive - strong - bodybuilder - males | 126 | 6_hypergamy_attractive_strong_bodybuilder |
7 | brainwashed - anyway - arguments - rekt - dumb | 120 | 7_brainwashed_anyway_arguments_rekt |
8 | feminazi - misogynistic - bitches - shit - brainwash | 112 | 8_feminazi_misogynistic_bitches_shit |
9 | bhaasha - khudaai - pehle - tujhe - samjega | 96 | 9_bhaasha_khudaai_pehle_tujhe |
10 | tumhare - dikhayega - chaar - dad - mohalla | 90 | 10_tumhare_dikhayega_chaar_dad |
11 | gendered - dysphoria - stereotypes - socity - natural | 90 | 11_gendered_dysphoria_stereotypes_socity |
12 | feminsts - rape - men - punishment - biased | 81 | 12_feminsts_rape_men_punishment |
13 | rape - allegations - rajveer - falsely - bail | 79 | 13_rape_allegations_rajveer_falsely |
14 | grp - pleasebahar - bnayega - kharab - chodu | 63 | 14_grp_pleasebahar_bnayega_kharab |
15 | equality - patriarchy - samaj - haramipanti - ladies | 63 | 15_equality_patriarchy_samaj_haramipanti |
16 | policewala - safai - shekhar - ladkiys - khilooo | 60 | 16_policewala_safai_shekhar_ladkiys |
17 | housewife - equal - hardwork - dhundti - income | 59 | 17_housewife_equal_hardwork_dhundti |
18 | lgbtq - homophobic - marginalises - hilaunga - btayege | 54 | 18_lgbtq_homophobic_marginalises_hilaunga |
19 | fraud - cases - patekar - badhte - victims | 50 | 19_fraud_cases_patekar_badhte |
20 | porn - belissa - empowered - sister - aapka | 45 | 20_porn_belissa_empowered_sister |
21 | bhai - mujse - rishtedaro - rudrani - madhvi | 42 | 21_bhai_mujse_rishtedaro_rudrani |
22 | rape - uttarakhand - bachayega - victims - mujhee | 41 | 22_rape_uttarakhand_bachayega_victims |
23 | alimony - dowry - shadi - wali - sudhregi | 41 | 23_alimony_dowry_shadi_wali |
24 | crimee - women - kabhi - victim - isliye | 40 | 24_crimee_women_kabhi_victim |
25 | ladkiya - jagha - manipur - reserved - castism | 37 | 25_ladkiya_jagha_manipur_reserved |
26 | ramji - joked - muslims - madhuri - smjhaarha | 35 | 26_ramji_joked_muslims_madhuri |
27 | vedio - youtube - jagrukta - bharmachari - anyaye | 33 | 27_vedio_youtube_jagrukta_bharmachari |
28 | muslims - quranic - muhammad - superstitions - haleem | 32 | 28_muslims_quranic_muhammad_superstitions |
29 | rape - consensual - ladki - sakta - लय | 31 | 29_rape_consensual_ladki_sakta |
30 | pornography - masturbating - objectification - watching - empowering | 30 | 30_pornography_masturbating_objectification_watching |
31 | genders - unequally - compulsory - leadership - segregates | 26 | 31_genders_unequally_compulsory_leadership |
32 | misogynist - metoo - barkha - deepika - false | 24 | 32_misogynist_metoo_barkha_deepika |
33 | ladkiyi - teachers - dekho - badha - homework | 24 | 33_ladkiyi_teachers_dekho_badha |
34 | ladkiyi - rakhegi - parinaam - duniya - nature | 24 | 34_ladkiyi_rakhegi_parinaam_duniya |
35 | argue - tumhari - sahaanubhooti - baar - kalank | 24 | 35_argue_tumhari_sahaanubhooti_baar |
36 | violences - casemai - surpanakha - daughters - vajh | 23 | 36_violences_casemai_surpanakha_daughters |
37 | naukri - dhoondti - chaprasi - jobless - jaataa | 22 | 37_naukri_dhoondti_chaprasi_jobless |
38 | slaves - islamic - muhammed - racism - african | 22 | 38_slaves_islamic_muhammed_racism |
39 | twitter - influencer - plz - kangana - bjp | 22 | 39_twitter_influencer_plz_kangana |
40 | bollywood - amitabh - salman - varun - villian | 21 | 40_bollywood_amitabh_salman_varun |
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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