MARTINI_enrich_BERTopic_mediaandcensoring

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_mediaandcensoring")

topic_model.get_topic_info()

Topic overview

• Number of topics: 19
• Number of training documents: 2142

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	bbc - putin - misinformation - banned - tiktok	22	-1_bbc_putin_misinformation_banned
0	whatsapp - spying - vpn - honeypot - mail	1197	0_whatsapp_spying_vpn_honeypot
1	wikileaks - extradition - mossad - prisoner - belmarsh	104	1_wikileaks_extradition_mossad_prisoner
2	zakharova - russia - sputnik - lithuania - journalists	91	2_zakharova_russia_sputnik_lithuania
3	donetsk - mariupol - journalists - atrocities - slavyansk	86	3_donetsk_mariupol_journalists_atrocities
4	gaza - palestinians - israelis - journalists - ukrainehumanrightsabuses	82	4_gaza_palestinians_israelis_journalists
5	ukraine - missiles - fakes - bayraktar - firefighters	75	5_ukraine_missiles_fakes_bayraktar
6	propaganda - dictatorship - psychopathic - gaslight - consciousness	57	6_propaganda_dictatorship_psychopathic_gaslight
7	musk - twitterigtruth - msnbc - soros - fired	54	7_musk_twitterigtruth_msnbc_soros
8	infodemic - fauci - plandemic - ivermectin - monkeypox	54	8_infodemic_fauci_plandemic_ivermectin
9	ukraine - luhansk - russians - kherson - counteroffensive	50	9_ukraine_luhansk_russians_kherson
10	bbcisthevirus - cnn - worldwidedemonstration - radio - salford	49	10_bbcisthevirus_cnn_worldwidedemonstration_radio
11	nazies - ukrainehumanrightsabuses - zelenskiy - sarmatians - whitewashing	39	11_nazies_ukrainehumanrightsabuses_zelenskiy_sarmatians
12	tucker - cnn - conservative - redacted - viewership	38	12_tucker_cnn_conservative_redacted
13	slander - murdoch - sanctioning - sunak - partygate	36	13_slander_murdoch_sanctioning_sunak
14	bbc - agentsoftruth - alarmism - mi5 - thelightpaperdistribution	34	14_bbc_agentsoftruth_alarmism_mi5
15	youtube - weforum - misinformation - deleted - senate	28	15_youtube_weforum_misinformation_deleted
16	disinformation - biden - dhs - jankowicz - secretary	23	16_disinformation_biden_dhs_jankowicz
17	tweets - suspended - musk - spamming - radicalization	23	17_tweets_suspended_musk_spamming

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