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

# MARTINI_enrich_BERTopic_BLUEPRINT_Q

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_BLUEPRINT_Q")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 14
* Number of training documents: 1373

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | patriot - slaves - trump - overthrow - constitution | 23 | -1_patriot_slaves_trump_overthrow | 
| 0 | trump - tyranny - undefeated - stratagem - jackson | 823 | 0_trump_tyranny_undefeated_stratagem | 
| 1 | liberty - founders - believed - revelation - 1776 | 79 | 1_liberty_founders_believed_revelation | 
| 2 | ballots - corrupt - hobbs - governor - maricopa | 67 | 2_ballots_corrupt_hobbs_governor | 
| 3 | fbi - clinton - dossier - allegations - sussman | 61 | 3_fbi_clinton_dossier_allegations | 
| 4 | fauci - vaccinated - pfizer - hydroxychloroquine - antibodies | 59 | 4_fauci_vaccinated_pfizer_hydroxychloroquine | 
| 5 | putin - mariupol - bioweapons - fauci - fascists | 46 | 5_putin_mariupol_bioweapons_fauci | 
| 6 | trump - clintons - epstein - cnn - trafficking | 45 | 6_trump_clintons_epstein_cnn | 
| 7 | andweknow - patriot - salute - awesome - nazis | 34 | 7_andweknow_patriot_salute_awesome | 
| 8 | qanon - twitter - awakening - campaign - false | 31 | 8_qanon_twitter_awakening_campaign | 
| 9 | imposter - scam - telegram - unwatermarked - zelenko | 28 | 9_imposter_scam_telegram_unwatermarked | 
| 10 | republicans - mccarthy - ballot - cosponsored - committees | 28 | 10_republicans_mccarthy_ballot_cosponsored | 
| 11 | counterinsurgency - treason - nsa - dod - government | 26 | 11_counterinsurgency_treason_nsa_dod | 
| 12 | lgbtq - pedophile - genderism - communists - progressive | 23 | 12_lgbtq_pedophile_genderism_communists |
  
</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