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

# BERTopic_ZoroKanalas

This is a [BERTopic](https://github.com/MaartenGr/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("sdantonio/BERTopic_ZoroKanalas")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 19
* Number of training documents: 7483

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | 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___ |
  
</details>

## 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