MARTINI_enrich_BERTopic_ancreport

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_ancreport")

topic_model.get_topic_info()

Topic overview

• Number of topics: 12
• Number of training documents: 1526

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	ukraine - putin - propaganda - israel - banned	22	-1_ukraine_putin_propaganda_israel
0	donetsk - mariupol - zaporozhye - russians - missiles	839	0_donetsk_mariupol_zaporozhye_russians
1	streaming - rona - fuck - telegram - substack	148	1_streaming_rona_fuck_telegram
2	hamas - israelis - hostages - eliyahu - bombed	127	2_hamas_israelis_hostages_eliyahu
3	vaccinated - fauci - jab - ivermectin - rfk	113	3_vaccinated_fauci_jab_ivermectin
4	censorship - fbi - antifa - misinformation - twitter	55	4_censorship_fbi_antifa_misinformation
5	twitters - musk - delisting - unbanned - billion	46	5_twitters_musk_delisting_unbanned
6	confederacy - virginians - slaves - jefferson - abolished	40	6_confederacy_virginians_slaves_jefferson
7	epstein - pedophiles - ghislaine - israel - billionaires	40	7_epstein_pedophiles_ghislaine_israel
8	gazprombank - sanctions - putin - bulgaria - rtnews	38	8_gazprombank_sanctions_putin_bulgaria
9	supremacists - wokism - bigotry - whites - leftish	34	9_supremacists_wokism_bigotry_whites
10	antisemitism - jew - yaweh - blacks - ignorant	24	10_antisemitism_jew_yaweh_blacks

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