metadata
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
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:
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