MARTINI_enrich_BERTopic_TheTruthFairy

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_TheTruthFairy")

topic_model.get_topic_info()

Topic overview

• Number of topics: 12
• Number of training documents: 1466

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	pandemic - vaccinated - china - everyone - mask	20	-1_pandemic_vaccinated_china_everyone
0	fauci - documentaries - watched - youtube - tomorrow	808	0_fauci_documentaries_watched_youtube
1	icc - protests - attilahildmannfreedom - germany - plaintiff	140	1_icc_protests_attilahildmannfreedom_germany
2	vaccinated - impfung - pfizer - antibodies - mrna	101	2_vaccinated_impfung_pfizer_antibodies
3	cabal - pandemic - vaxx - luciferian - 2020	101	3_cabal_pandemic_vaxx_luciferian
4	vaccinated - mandatory - lockdown - nhs - austria	61	4_vaccinated_mandatory_lockdown_nhs
5	melbournefreedomrally - australians - tyranny - victoria - zelandia	61	5_melbournefreedomrally_australians_tyranny_victoria
6	passports - xuechun - mygov - quarantine - id2020	57	6_passports_xuechun_mygov_quarantine
7	trudeau - alberta - pastor - gloriousandfree - racists	53	7_trudeau_alberta_pastor_gloriousandfree
8	telegram - censorship - encrypted - bloqueado - playstore	24	8_telegram_censorship_encrypted_bloqueado
9	fauci - transplant - experiments - frogs - thimerosal	20	9_fauci_transplant_experiments_frogs
10	vacina - illuminati - injecting - dna - tattoo	20	10_vacina_illuminati_injecting_dna

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