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

# BERTopic

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("Jerado/BERTopic")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 17
* Number of training documents: 1000

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | theism - much - way - think - just | 15 | -1_theism_much_way_think | 
| 0 | nhl - playoffs - rangers - hockey - league | 304 | 0_nhl_playoffs_rangers_hockey | 
| 1 | performance - ram - drivers - monitor - speed | 92 | 1_performance_ram_drivers_monitor | 
| 2 | x11r5 - hyperhelp - windows - pc - application | 82 | 2_x11r5_hyperhelp_windows_pc | 
| 3 | dos - windows - harddisk - disk - software | 82 | 3_dos_windows_harddisk_disk | 
| 4 | amp - amps - amplifier - ampere - current | 75 | 4_amp_amps_amplifier_ampere | 
| 5 | scripture - christians - sin - bible - commandment | 44 | 5_scripture_christians_sin_bible | 
| 6 | patients - biological - medicine - studies - doctors | 41 | 6_patients_biological_medicine_studies | 
| 7 | nasa - solar - space - shuttle - orbiting | 39 | 7_nasa_solar_space_shuttle | 
| 8 | armenians - armenian - armenia - turks - genocide | 38 | 8_armenians_armenian_armenia_turks | 
| 9 | guns - gun - amendment - constitution - laws | 36 | 9_guns_gun_amendment_constitution | 
| 10 |  -  -  -  -  | 33 | 10____ | 
| 11 | motorcycle - bikes - cobralinks - bike - riding | 32 | 11_motorcycle_bikes_cobralinks_bike | 
| 12 | encryption - security - encrypted - privacy - secure | 24 | 12_encryption_security_encrypted_privacy | 
| 13 | contacted - address - mail - contact - email | 23 | 13_contacted_address_mail_contact | 
| 14 | paganism - faith - christianity - christians - atheists | 21 | 14_paganism_faith_christianity_christians | 
| 15 | action - fbi - batf - war - president | 19 | 15_action_fbi_batf_war |
  
</details>

## Training hyperparameters

* calculate_probabilities: False
* language: english
* low_memory: False
* min_topic_size: 10
* n_gram_range: (1, 1)
* nr_topics: None
* seed_topic_list: [['drug', 'cancer', 'drugs', 'doctor'], ['windows', 'drive', 'dos', 'file'], ['space', 'launch', 'orbit', 'lunar']]
* top_n_words: 10
* verbose: False
* zeroshot_min_similarity: 0.7
* zeroshot_topic_list: None

## Framework versions

* Numpy: 1.23.5
* HDBSCAN: 0.8.33
* UMAP: 0.5.6
* Pandas: 2.0.3
* Scikit-Learn: 1.2.2
* Sentence-transformers: 2.7.0
* Transformers: 4.40.1
* Numba: 0.58.1
* Plotly: 5.15.0
* Python: 3.10.12