You can deploy this model and start earning money today!

AIDA-UPM/
MARTINI_enrich_BERTopic_Qnews

Name: MARTINI_enrich_BERTopic_Qnews
Availability: InStock

bertopic

text-classification

Views

No views yet

MARTINI_enrich_BERTopic_Qnews

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_Qnews")

topic_model.get_topic_info()

Topic overview

Number of topics: 14
Number of training documents: 1105

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	obama - republicans - washington - conspiracy - ballot	21	-1_obama_republicans_washington_conspiracy
0	iowa - caucus - speech - patriots - 45th	565	0_iowa_caucus_speech_patriots
1	illegals - texas - border - governor - reinforcements	143	1_illegals_texas_border_governor
2	zelensky - nordstream - kakhovka - podcast - russell	65	2_zelensky_nordstream_kakhovka_podcast
3	twitter - fbi - tyranny - australia - banned	45	3_twitter_fbi_tyranny_australia
4	bidenomics - huckabee - joe - delaware - higher	44	4_bidenomics_huckabee_joe_delaware
5	polls - republican - leading - kudlow - nbc	37	5_polls_republican_leading_kudlow
6	verdict - prosecutor - kamala - dismissed - georgia	32	6_verdict_prosecutor_kamala_dismissed
7	voters - disenfranchise - cheated - results - missouri	31	7_voters_disenfranchise_cheated_results
8	soleimani - hamas - jerusalem - egypt - accords	29	8_soleimani_hamas_jerusalem_egypt
9	autoworkers - electric - joe - repeal - towing	25	9_autoworkers_electric_joe_repeal
10	republican - globalists - 2024 - jeb - upcoming	24	10_republican_globalists_2024_jeb
11	desantis - cronies - veto - resigned - flip	22	11_desantis_cronies_veto_resigned
12	agenda - defunded - america - abolish - revolutionize	22	12_agenda_defunded_america_abolish

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