MARTINI_enrich_BERTopic_DrTessLawrie

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_DrTessLawrie")

topic_model.get_topic_info()

Topic overview

• Number of topics: 11
• Number of training documents: 824

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	vaccines - homeopathy - drtesslawrie - newsroom - jam	21	-1_vaccines_homeopathy_drtesslawrie_newsroom
0	betterwayconference - speakers - virtual - veronika - neil	454	0_betterwayconference_speakers_virtual_veronika
1	vaccinated - pfizer - pharmacovigilance - injections - drtesslawrie	94	1_vaccinated_pfizer_pharmacovigilance_injections
2	worldivermectinday - hydroxychloroquine - ivm - julian - bifidobacteria	66	2_worldivermectinday_hydroxychloroquine_ivm_julian
3	outreach - empowering - healthier - hello - donate	40	3_outreach_empowering_healthier_hello
4	thegreatfreeset - brainwashing - sovereign - democracy - beings	38	4_thegreatfreeset_brainwashing_sovereign_democracy
5	parliamentlive - westminster - amendments - petition - uwebtqpm	23	5_parliamentlive_westminster_amendments_petition
6	pandemic - supranational - amendments - monopolni - poder	22	6_pandemic_supranational_amendments_monopolni
7	vaccine - plasmids - contaminated - findings - panelists	22	7_vaccine_plasmids_contaminated_findings
8	healthiwealthi - chiropractic - fisslinger - dailyclout - whistleblowing	22	8_healthiwealthi_chiropractic_fisslinger_dailyclout
9	webinar - peace - nzdt - importance - psychotherapy	22	9_webinar_peace_nzdt_importance

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