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

# MARTINI_enrich_BERTopic_PascalNajadiNEWS

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("AIDA-UPM/MARTINI_enrich_BERTopic_PascalNajadiNEWS")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 14
* Number of training documents: 1141

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | trump - monde - commandant - democide - jetzt | 22 | -1_trump_monde_commandant_democide | 
| 0 | fauci - mondiale - democide - jamais - biologiques | 521 | 0_fauci_mondiale_democide_jamais | 
| 1 | gaulle - republique - allez - presentateurs - hiver | 103 | 1_gaulle_republique_allez_presentateurs | 
| 2 | gendarmerie - republique - natale - bonjour - wahrheit | 96 | 2_gendarmerie_republique_natale_bonjour | 
| 3 | dɪsˈkloʊʒər - disclosure - desclos - definition - terbuka | 85 | 3_dɪsˈkloʊʒər_disclosure_desclos_definition | 
| 4 | impfschaden - injektionen - pfizer - strafanzeige - swiss | 58 | 4_impfschaden_injektionen_pfizer_strafanzeige | 
| 5 | geneve - documentaire - serpente - fauci - milioni | 56 | 5_geneve_documentaire_serpente_fauci | 
| 6 | usaf - luftstreitkrafte - nigthwatch - trump - commandant | 49 | 6_usaf_luftstreitkrafte_nigthwatch_trump | 
| 7 | pfizer - lawsuit - ny - scotus - mccarthy | 29 | 7_pfizer_lawsuit_ny_scotus | 
| 8 | biden - inauguration - ejecutado - treason - janvier | 27 | 8_biden_inauguration_ejecutado_treason | 
| 9 | ukraine - zelensky - schweizer - paradeplatz - mikhail | 26 | 9_ukraine_zelensky_schweizer_paradeplatz | 
| 10 | democratie - schweiz - militarisation - thedocuments - toujours | 24 | 10_democratie_schweiz_militarisation_thedocuments | 
| 11 | swissmedic - sworn - soldiers - verfassungsmaßige - gezwungen | 23 | 11_swissmedic_sworn_soldiers_verfassungsmaßige | 
| 12 | unabhangigkeitskrieges - federalize - delaware - decembre - 1776 | 22 | 12_unabhangigkeitskrieges_federalize_delaware_decembre |
  
</details>

## 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