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

# MARTINI_enrich_BERTopic_HarveyRisch

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_HarveyRisch")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 8
* Number of training documents: 715

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | vaccinated - pfizer - deaths - misinformation - kennedy | 28 | -1_vaccinated_pfizer_deaths_misinformation | 
| 0 | vaccinated - pfizer - antibodies - plasmid - injection | 394 | 0_vaccinated_pfizer_antibodies_plasmid | 
| 1 | vax - myocarditis - cordis - deaths - mri | 75 | 1_vax_myocarditis_cordis_deaths | 
| 2 | doctors - harvey - marik - integrative - webinar | 74 | 2_doctors_harvey_marik_integrative | 
| 3 | ivermectin - hydroxychloroquine - remdesivir - penicillin - prescribing | 46 | 3_ivermectin_hydroxychloroquine_remdesivir_penicillin | 
| 4 | unvaccinated - polio - children - allergies - cnbc | 36 | 4_unvaccinated_polio_children_allergies | 
| 5 | masks - omicron - hospitals - mandatory - texas | 31 | 5_masks_omicron_hospitals_mandatory | 
| 6 | fauci - wuhan - coronaviruses - bioweapons - conspired | 31 | 6_fauci_wuhan_coronaviruses_bioweapons |
  
</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