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

# MARTINI_enrich_BERTopic_afldscc

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_afldscc")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 14
* Number of training documents: 1099

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | vaccine - cdc - ivermectin - zelenko - 2022 | 24 | -1_vaccine_cdc_ivermectin_zelenko | 
| 0 | physicians - rilegislature - california - unconstitutional - hb2280 | 549 | 0_physicians_rilegislature_california_unconstitutional | 
| 1 | vaccine - reinstated - mandates - cuomo - refusing | 76 | 1_vaccine_reinstated_mandates_cuomo | 
| 2 | freedrgold - simone - supporters - pma - sentencing | 57 | 2_freedrgold_simone_supporters_pma | 
| 3 | reawaken - stateline - clark - event - speedway | 55 | 3_reawaken_stateline_clark_event | 
| 4 | freedom - days - injustices - flyer - defendants | 50 | 4_freedom_days_injustices_flyer | 
| 5 | scotus - redress - tyranny - senators - brunson | 47 | 5_scotus_redress_tyranny_senators | 
| 6 | vaccine - myocarditis - paxlovid - deaths - 2021 | 42 | 6_vaccine_myocarditis_paxlovid_deaths | 
| 7 | citizencorps - aflds - meeting - dana - joined | 38 | 7_citizencorps_aflds_meeting_dana | 
| 8 | pfizer - fauci - publicis - disinformation - fbi | 38 | 8_pfizer_fauci_publicis_disinformation | 
| 9 | homeschool - educate - resources - christa - explore | 37 | 9_homeschool_educate_resources_christa | 
| 10 | novavax - fda - injections - infants - 2022 | 31 | 10_novavax_fda_injections_infants | 
| 11 | lockdowns - masks - effects - harmful - kaiser | 29 | 11_lockdowns_masks_effects_harmful | 
| 12 | pandemics - stopthewho - sovereignty - amendments - geneva | 26 | 12_pandemics_stopthewho_sovereignty_amendments |
  
</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