metadata
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
BERTopic_ZoroKanalas
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("sdantonio/BERTopic_ZoroKanalas")
topic_model.get_topic_info()
Topic overview
- Number of topics: 19
- Number of training documents: 7483
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | kazakhstanas - iregistruotos - paryziuje - lionel - zelenkiui | 11 | -1_kazakhstanas_iregistruotos_paryziuje_lionel |
| 0 | pries - rusijos - ukrainos - rusija - eme | 96 | 0_pries_rusijos_ukrainos_rusija |
| 1 | maikelis - isvede - joe - londono - londonas | 6689 | 1_maikelis_isvede_joe_londono |
| 2 | jk - skiepus - statula - slava - lukas | 194 | 2_jk_skiepus_statula_slava |
| 3 | varlyte - parsidavele - gates - vakcinos - utilizacija | 79 | 3_varlyte_parsidavele_gates_vakcinos |
| 4 | snikerio - tortas - triufeliai - ingridijentai - bic | 63 | 4_snikerio_tortas_triufeliai_ingridijentai |
| 5 | vokietija - - - - | 45 | 5_vokietija___ |
| 6 | londonas - jk - anglija - policija - gejukai | 43 | 6_londonas_jk_anglija_policija |
| 7 | rusija - jav - donald - vilnius - brazilija | 41 | 7_rusija_jav_donald_vilnius |
| 8 | tikekime - zelenskis - kinijos - aveles - cirkas | 38 | 8_tikekime_zelenskis_kinijos_aveles |
| 9 | pasaulinio - cukrus - fluoras - 5g - eismas | 29 | 9_pasaulinio_cukrus_fluoras_5g |
| 10 | madridas - ispanija - 03 - 2023 - | 28 | 10_madridas_ispanija_03_2023 |
| 11 | zaporoz - zelenkis - - - | 24 | 11_zaporoz_zelenkis__ |
| 12 | sniegas - vokietija - lapkric - aliaskoje - atostogos | 24 | 12_sniegas_vokietija_lapkric_aliaskoje |
| 13 | tikintis - aveles - avys - vakcinos - klausas | 21 | 13_tikintis_aveles_avys_vakcinos |
| 14 | - - - - | 18 | 14____ |
| 15 | - - - - | 15 | 15____ |
| 16 | chemtreilai - ampinjonai - chemtrailai - barbe - psr | 13 | 16_chemtreilai_ampinjonai_chemtrailai_barbe |
| 17 | zelenskis - - - - | 12 | 17_zelenskis___ |
Training hyperparameters
- calculate_probabilities: False
- 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: 1.23.5
- HDBSCAN: 0.8.38.post1
- UMAP: 0.5.6
- Pandas: 2.2.2
- Scikit-Learn: 1.5.1
- Sentence-transformers: 3.0.1
- Transformers: 4.44.2
- Numba: 0.60.0
- Plotly: 5.24.0
- Python: 3.10.12