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AIDA-UPM/
MARTINI_enrich_BERTopic_PVardon

Name: MARTINI_enrich_BERTopic_PVardon
Availability: InStock

bertopic

text-classification

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MARTINI_enrich_BERTopic_PVardon

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_PVardon")

topic_model.get_topic_info()

Topic overview

Number of topics: 10
Number of training documents: 815

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	droite - toujours - victoire - zemmour - philippe	20	-1_droite_toujours_victoire_zemmour
0	patrouille - citoyens - quartiers - fusillades - novembre	518	0_patrouille_citoyens_quartiers_fusillades
1	lampedusa - europeennes - migratoire - tunisie - accueil	59	1_lampedusa_europeennes_migratoire_tunisie
2	islamistes - aissaoui - municipalite - imam - mosquee	50	2_islamistes_aissaoui_municipalite_imam
3	europeennes - deputes - macronistes - groupe - zemmour	34	3_europeennes_deputes_macronistes_groupe
4	agresseur - multirecidiviste - nantes - algerien - faisaient	30	4_agresseur_multirecidiviste_nantes_algerien
5	retrouvons - anniversairereconquete - moucheboeuf - septembre - arrondissements	27	5_retrouvons_anniversairereconquete_moucheboeuf_septembre
6	dieu - merci - joyeuses - retrouveront - χαρα	27	6_dieu_merci_joyeuses_retrouveront
7	departement - migrants - accueil - conseiller - majeurs	26	7_departement_migrants_accueil_conseiller
8	marseillais - reconquete - yvelines - stephane - senateur	24	8_marseillais_reconquete_yvelines_stephane

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