You can deploy this model and start earning money today!

AIDA-UPM/
MARTINI_enrich_BERTopic_The_Zionist_Effect

Name: MARTINI_enrich_BERTopic_The_Zionist_Effect
Availability: InStock

bertopic

text-classification

Views

No views yet

MARTINI_enrich_BERTopic_The_Zionist_Effect

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_The_Zionist_Effect")

topic_model.get_topic_info()

Topic overview

Number of topics: 13
Number of training documents: 1071

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	zionist - hitler - menorah - telegram - president	21	-1_zionist_hitler_menorah_telegram
0	hamas - israelis - genocide - killed - rachel	549	0_hamas_israelis_genocide_killed
1	vaxed - unvaccinated - pandemic - polio - fda	97	1_vaxed_unvaccinated_pandemic_polio
2	lmaooo - shit - ban - youtube - subscribers	76	2_lmaooo_shit_ban_youtube
3	holocaust - treblinka - nuremberg - zundel - revisionists	66	3_holocaust_treblinka_nuremberg_zundel
4	blacks - racism - looters - whitey - conservatives	46	4_blacks_racism_looters_whitey
5	hitler - nsdap - weimar - 1933 - persecuted	41	5_hitler_nsdap_weimar_1933
6	jews - semitism - aipac - conspiratorial - wwiii	40	6_jews_semitism_aipac_conspiratorial
7	lgbt - tranny - pedophiles - storytime - sexually	33	7_lgbt_tranny_pedophiles_storytime
8	zelensky - crimea - russians - jewry - solzhenitsyn	28	8_zelensky_crimea_russians_jewry
9	assassination - terrorists - wounded - sydney - shokhinjonn	26	9_assassination_terrorists_wounded_sydney
10	antisemitism - aipac - ashkenazi - greenblatt - defending	25	10_antisemitism_aipac_ashkenazi_greenblatt
11	censorship - australians - musk - facebook - provocateurs	23	11_censorship_australians_musk_facebook

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