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

# MARTINI_enrich_BERTopic_DiedSuddenlyConnecticut

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_DiedSuddenlyConnecticut")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 15
* Number of training documents: 1737

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | danbury - stamford - vaccinated - rn - july | 21 | -1_danbury_stamford_vaccinated_rn | 
| 0 | naugatuck - mary - carolee - terryville - nurse | 1012 | 0_naugatuck_mary_carolee_terryville | 
| 1 | chemotherapy - lymphoblastic - diagnosed - megan - marrow | 116 | 1_chemotherapy_lymphoblastic_diagnosed_megan | 
| 2 | danbury - robert - steven - navy - moynihan | 91 | 2_danbury_robert_steven_navy | 
| 3 | norwalk - teachers - kristin - stafford - vaccinated | 81 | 3_norwalk_teachers_kristin_stafford | 
| 4 | uconn - vaccinated - snhu - colleges - unitedhealth | 61 | 4_uconn_vaccinated_snhu_colleges | 
| 5 | vaers - vaccinated - myocarditis - deaths - 65 | 59 | 5_vaers_vaccinated_myocarditis_deaths | 
| 6 | firefighters - norwalk - responder - lieutenant - tracy | 54 | 6_firefighters_norwalk_responder_lieutenant | 
| 7 | micheal - larose - dahill - wajnowski - eversource | 47 | 7_micheal_larose_dahill_wajnowski | 
| 8 | defibrillator - icu - strokes - blockage - cody | 46 | 8_defibrillator_icu_strokes_blockage | 
| 9 | vaccinated - pfizer - shots - darien - toddlers | 40 | 9_vaccinated_pfizer_shots_darien | 
| 10 | vaccinating - clinic - pratt - hhc - fema | 33 | 10_vaccinating_clinic_pratt_hhc | 
| 11 | david - wethersfield - buckley - eisenberg - idaho | 32 | 11_david_wethersfield_buckley_eisenberg | 
| 12 | glioblastoma - neurosurgeon - migraines - stamford - andrew | 23 | 12_glioblastoma_neurosurgeon_migraines_stamford | 
| 13 | quinnipiac - hamden - dr - sheila - vaccination | 21 | 13_quinnipiac_hamden_dr_sheila |
  
</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