MARTINI_enrich_BERTopic_AlternatyviosNaujienos
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_AlternatyviosNaujienos")
topic_model.get_topic_info()
Topic overview
- Number of topics: 14
- Number of training documents: 2238
Click here for an overview of all topics.
Topic ID | Topic Keywords | Topic Frequency | Label |
---|---|---|---|
-1 | covid - все - доктор - против - lietuva | 26 | -1_covid_все_доктор_против |
0 | revoliucijos - lietuviu - ideologija - klausas - platono | 1097 | 0_revoliucijos_lietuviu_ideologija_klausas |
1 | ukrainoje - putina - invazija - rusijoje - amerikieciai | 191 | 1_ukrainoje_putina_invazija_rusijoje |
2 | vakcinacija - imunoprofilaktikos - koronaviruso - pfizer - veiksmingumas | 179 | 2_vakcinacija_imunoprofilaktikos_koronaviruso_pfizer |
3 | konstitucijos - prokuroras - likviduoti - iniciatyva - referendumo | 158 | 3_konstitucijos_prokuroras_likviduoti_iniciatyva |
4 | hamas - netanyahu - palestinieciu - izraelyje - bombed | 93 | 4_hamas_netanyahu_palestinieciu_izraelyje |
5 | pandemic - globalists - masks - we - drosten | 86 | 5_pandemic_globalists_masks_we |
6 | zenkliai - naujienu - lietuva - energijos - numeris | 86 | 6_zenkliai_naujienu_lietuva_energijos |
7 | vaccinated - vaers - pfizer - myocarditis - clots | 75 | 7_vaccinated_vaers_pfizer_myocarditis |
8 | pandemija - koronaviruso - lietuvos - reiskia - mediku | 74 | 8_pandemija_koronaviruso_lietuvos_reiskia |
9 | россию - украинских - лукашенко - военнои - днр | 62 | 9_россию_украинских_лукашенко_военнои |
10 | homoseksualiu - lgbtq - bendradarbiai - diskriminacija - ideologijos | 45 | 10_homoseksualiu_lgbtq_bendradarbiai_diskriminacija |
11 | сознания - жизни - общества - иерархии - инфантильная | 37 | 11_сознания_жизни_общества_иерархии |
12 | virologists - pcr - sars - isolate - sequenced | 29 | 12_virologists_pcr_sars_isolate |
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
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