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

# MARTINI_enrich_BERTopic_MissFreedomSeeker

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_MissFreedomSeeker")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 21
* Number of training documents: 2470

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | trump - god - fbi - christmas - flynn | 21 | -1_trump_god_fbi_christmas | 
| 0 | president - trump - lincoln - liberty - states | 1352 | 0_president_trump_lincoln_liberty | 
| 1 | trump - dubuque - tuesday - scheduled - 2023 | 310 | 1_trump_dubuque_tuesday_scheduled | 
| 2 | missfreedom - blessings - goodnight - nkjv - sorry | 86 | 2_missfreedom_blessings_goodnight_nkjv | 
| 3 | templars - freemasons - illuminati - mazzini - fasces | 79 | 3_templars_freemasons_illuminati_mazzini | 
| 4 | alleluia - psalm - worship - praise - morning | 73 | 4_alleluia_psalm_worship_praise | 
| 5 | blessed - salvation - grace - galatians - morning | 69 | 5_blessed_salvation_grace_galatians | 
| 6 | telegram - shills - flynn - patriots - banned | 55 | 6_telegram_shills_flynn_patriots | 
| 7 | psalm - blessed - supplications - afraid - omnipotent | 45 | 7_psalm_blessed_supplications_afraid | 
| 8 | rothschild - illuminati - zionists - mossad - hitler | 42 | 8_rothschild_illuminati_zionists_mossad | 
| 9 | romney - soros - clinton - mcdaniel - newsweek | 39 | 9_romney_soros_clinton_mcdaniel | 
| 10 | lindell - breitbart - joe - militia - founder | 39 | 10_lindell_breitbart_joe_militia | 
| 11 | replies - limbaugh - fireside - doug - hours | 36 | 11_replies_limbaugh_fireside_doug | 
| 12 | lebron - nfl - illuminati - kardashian - brady | 35 | 12_lebron_nfl_illuminati_kardashian | 
| 13 | prophets - revelations - biblical - nkjv - verses | 34 | 13_prophets_revelations_biblical_nkjv | 
| 14 | trafficking - lawfare - philippines - satanic - desantis | 34 | 14_trafficking_lawfare_philippines_satanic | 
| 15 | hallelujah - morning - coffee - philippians - fragrance | 27 | 15_hallelujah_morning_coffee_philippians | 
| 16 | musk - 4childrescue - unsworth - sued - thailand | 27 | 16_musk_4childrescue_unsworth_sued | 
| 17 | researching - links - bitchute - digs - points | 24 | 17_researching_links_bitchute_digs | 
| 18 | dinosaurs - genesis - hoax - aliens - dewey | 22 | 18_dinosaurs_genesis_hoax_aliens | 
| 19 | birthday - blesses - congratulations - donating - 71 | 21 | 19_birthday_blesses_congratulations_donating |
  
</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