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AIDA-UPM/
MARTINI_enrich_BERTopic_DrSimoneGold

Name: MARTINI_enrich_BERTopic_DrSimoneGold
Availability: InStock

bertopic

text-classification

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MARTINI_enrich_BERTopic_DrSimoneGold

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:

python

from bertopic import BERTopic
topic_model = BERTopic.load("AIDA-UPM/MARTINI_enrich_BERTopic_DrSimoneGold")

topic_model.get_topic_info()

Topic overview

Number of topics: 14
Number of training documents: 1094

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	lockdowns - fda - vaccine - aflds - disinformation	20	-1_lockdowns_fda_vaccine_aflds
0	citizencorps - freedom - reawaken - aflds - live	625	0_citizencorps_freedom_reawaken_aflds
1	unvaccinated - mandates - upheld - unconstitutional - nyc	78	1_unvaccinated_mandates_upheld_unconstitutional
2	newsom - fda - ivermectin - lawsuit - vetoed	53	2_newsom_fda_ivermectin_lawsuit
3	freedom - dissent - dictatorship - merry - protesters	49	3_freedom_dissent_dictatorship_merry
4	pfizer - unvaccinated - regulatory - shots - disclose	45	4_pfizer_unvaccinated_regulatory_shots
5	lockdowns - tyranny - mandated - ukraine - masked	45	5_lockdowns_tyranny_mandated_ukraine
6	imprisonment - prosecuted - freedrgold - doj - misdemeanor	38	6_imprisonment_prosecuted_freedrgold_doj
7	masks - skeptics - respiratory - dioxide - toxicity	30	7_masks_skeptics_respiratory_dioxide
8	vaccine - pfizer - toddlers - shots - c19	25	8_vaccine_pfizer_toddlers_shots
9	arrestfauci - ebola - accusations - investigated - kickbacks	23	9_arrestfauci_ebola_accusations_investigated
10	frontlineflash_ - unvaxxed - presented - maddow - fearless	22	10_frontlineflash__unvaxxed_presented_maddow
11	doctor - pharma - communism - revolutionizing - epidemic	21	11_doctor_pharma_communism_revolutionizing
12	simone - honored - freedom - flynn - congressman	20	12_simone_honored_freedom_flynn

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