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AIDA-UPM/
MARTINI_enrich_BERTopic_gerasveikata

Name: MARTINI_enrich_BERTopic_gerasveikata
Availability: InStock

bertopic

text-classification

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MARTINI_enrich_BERTopic_gerasveikata

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_gerasveikata")

topic_model.get_topic_info()

Topic overview

Number of topics: 9
Number of training documents: 1037

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	vakcinas - nustatyti - pfizer - 2021 - ukrainos	20	-1_vakcinas_nustatyti_pfizer_2021
0	konstitucijai - konstituciniu - nustatyti - respublikos - reikalavimas	693	0_konstitucijai_konstituciniu_nustatyti_respublikos
1	taisykliu - pasitikejimas - reikalauja - iliuzija - galimybiu	63	1_taisykliu_pasitikejimas_reikalauja_iliuzija
2	vakcinavimas - injekcija - susitvarkyti - sertifikatu - virusa	60	2_vakcinavimas_injekcija_susitvarkyti_sertifikatu
3	koronavirusu - virusologijos - laboratorijoje - institutas - ekspertai	51	3_koronavirusu_virusologijos_laboratorijoje_institutas
4	pfizer - vakcinas - fda - 2021 - dokumentu	50	4_pfizer_vakcinas_fda_2021
5	vaers - omicron - 2021 - nepageidaujami - skaicius	46	5_vaers_omicron_2021_nepageidaujami
6	vakcinacija - израиля - izraeliui - kampanija - issamiai	28	6_vakcinacija_израиля_izraeliui_kampanija
7	virusus - bakterijas - patogenai - imunine - mikroskopa	26	7_virusus_bakterijas_patogenai_imunine

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