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

# MARTINI_enrich_BERTopic_joinmiFight

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_joinmiFight")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 9
* Number of training documents: 1033

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | pfizer - vaxx - bioweapons - biden - 2021 | 21 | -1_pfizer_vaxx_bioweapons_biden | 
| 0 | god - trump - freedoms - unrighteousness - warmongers | 586 | 0_god_trump_freedoms_unrighteousness | 
| 1 | vaccinated - pfizer - injections - hospitalizations - 2021 | 120 | 1_vaccinated_pfizer_injections_hospitalizations | 
| 2 | vaccine - mrna - injections - nanotechnologies - dr | 70 | 2_vaccine_mrna_injections_nanotechnologies | 
| 3 | transhumanism - darpa - neuralink - chatgpt - blinken | 60 | 3_transhumanism_darpa_neuralink_chatgpt | 
| 4 | pfizer - biowarfare - dod - prosecuting - liability | 55 | 4_pfizer_biowarfare_dod_prosecuting | 
| 5 | fauci - karen - whistleblower - livestream - mikovits | 51 | 5_fauci_karen_whistleblower_livestream | 
| 6 | sars - bioweapons - vaccine - darpa - aerosolized | 38 | 6_sars_bioweapons_vaccine_darpa | 
| 7 | fauci - sarscov - funded - wuhan - huff | 32 | 7_fauci_sarscov_funded_wuhan |
  
</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