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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