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

# MARTINI_enrich_BERTopic_thegoldenone

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_thegoldenone")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 20
* Number of training documents: 2440

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | civilisation - guys - nietzsche - sweden - white | 20 | -1_civilisation_guys_nietzsche_sweden | 
| 0 | legiogloria - polos - garment - tracksuit - bottoms | 1332 | 0_legiogloria_polos_garment_tracksuit | 
| 1 | neolithic - aryans - haplogroup - norse - europe | 109 | 1_neolithic_aryans_haplogroup_norse | 
| 2 | instagram - deleted - parler - banned - censorship | 109 | 2_instagram_deleted_parler_banned | 
| 3 | sweden - fredrik - migrants - riots - socialism | 91 | 3_sweden_fredrik_migrants_riots | 
| 4 | mithras - deities - hermeticism - rosicrucians - angels | 86 | 4_mithras_deities_hermeticism_rosicrucians | 
| 5 | youtube - views - bitchute - subscribers - deleted | 79 | 5_youtube_views_bitchute_subscribers | 
| 6 | collagen - jotunheimnutrition - whey - supplement - creatine | 69 | 6_collagen_jotunheimnutrition_whey_supplement | 
| 7 | benchpress - deadlifts - squats - kettlebell - stronger | 68 | 7_benchpress_deadlifts_squats_kettlebell | 
| 8 | racist - leftists - nazis - fuck - accelerationism | 59 | 8_racist_leftists_nazis_fuck | 
| 9 | podcast - ultimate - theodoric - demigod - civilisation | 55 | 9_podcast_ultimate_theodoric_demigod | 
| 10 | aragorn - morgoth - eltharion - valiant - gawain | 55 | 10_aragorn_morgoth_eltharion_valiant | 
| 11 | dauntless - goodreads - demigod - marcus - appreciated | 51 | 11_dauntless_goodreads_demigod_marcus | 
| 12 | delays - shipped - postnord - delivering - dhl | 50 | 12_delays_shipped_postnord_delivering | 
| 13 | ukraine - donetsk - russians - serbs - kremlin | 50 | 13_ukraine_donetsk_russians_serbs | 
| 14 | physiognomy - masculine - strength - sociosexual - unattractive | 49 | 14_physiognomy_masculine_strength_sociosexual | 
| 15 | kickboxing - thaiboxing - heavybag - grappling - opponents | 43 | 15_kickboxing_thaiboxing_heavybag_grappling | 
| 16 | reading - machiavelli - homoerotic - chapter - diabolical | 24 | 16_reading_machiavelli_homoerotic_chapter | 
| 17 | fizeekfriday - fitness - spiritually - gains - momoa | 21 | 17_fizeekfriday_fitness_spiritually_gains | 
| 18 | coffees - kaffekompaniet - fairtrade - lindt - buttermaxxed | 20 | 18_coffees_kaffekompaniet_fairtrade_lindt |
  
</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