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

# MARTINI_enrich_BERTopic_TruthHammer

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_TruthHammer")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 18
* Number of training documents: 1748

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | biden - fbi - military - truth - flynn | 25 | -1_biden_fbi_military_truth | 
| 0 | ballots - falsified - georgia - raffensperger - audit | 976 | 0_ballots_falsified_georgia_raffensperger | 
| 1 | globalists - illuminati - fauci - news - hearst | 107 | 1_globalists_illuminati_fauci_news | 
| 2 | truthhammer - haha - bitches - hopefully - scammers | 86 | 2_truthhammer_haha_bitches_hopefully | 
| 3 | twitter - musk - carlson - censorship - revealed | 74 | 3_twitter_musk_carlson_censorship | 
| 4 | transphobia - pervert - backlash - terrorists - liberal | 64 | 4_transphobia_pervert_backlash_terrorists | 
| 5 | god - prayers - miracles - freedom - lucifer | 50 | 5_god_prayers_miracles_freedom | 
| 6 | donald - speaker - mccarthy - jim - meme | 43 | 6_donald_speaker_mccarthy_jim | 
| 7 | desantis - ronnie - desanctimonious - loser - nominee | 42 | 7_desantis_ronnie_desanctimonious_loser | 
| 8 | perjury - indicted - pelosi - j6 - footage | 39 | 8_perjury_indicted_pelosi_j6 | 
| 9 | rfk - democrats - bernie - bannon - potentially | 35 | 9_rfk_democrats_bernie_bannon | 
| 10 | doj - prosecutions - durham - whatchagonnadoaboutit - unsubstantiated | 33 | 10_doj_prosecutions_durham_whatchagonnadoaboutit | 
| 11 | fakemocracy - president - amendments - tucker - polk | 32 | 11_fakemocracy_president_amendments_tucker | 
| 12 | hamas - gaza - israeli - atrocities - civilians | 31 | 12_hamas_gaza_israeli_atrocities | 
| 13 | ukraine - zelensky - kakhovka - sabotaged - headlines | 30 | 13_ukraine_zelensky_kakhovka_sabotaged | 
| 14 | biden - whistleblower - bribery - investigations - ukraine | 27 | 14_biden_whistleblower_bribery_investigations | 
| 15 | nani - lahaina - governor - sister - oprah | 27 | 15_nani_lahaina_governor_sister | 
| 16 | truthhammershop - shirts - mug - order - honduras | 27 | 16_truthhammershop_shirts_mug_order |
  
</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