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

# bertopic_ready_labeled

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("DobreMihai/bertopic_ready_labeled")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 16
* Number of training documents: 24020

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | be - it - the - to - alarm | 11 | -1_be_it_the_to | 
| 0 | math - app - up - to - wake | 9581 | Math | 
| 1 | not - the - alarm - it - off | 4179 | Sometimes not Ringing | 
| 2 | snooze -  -  -  -  | 2294 | Good App | 
| 3 | loud -  -  -  -  | 2279 | Premium Subscription | 
| 4 | be - premium - the - to - pay | 1866 | Loud | 
| 5 | camera -  -  -  -  | 1753 | Take Photo | 
| 6 | snooze - the - to - be - button | 603 | Snooze | 
| 7 | easy - use - simple - and - to | 381 | Easy to Use | 
| 8 | barcode - scan - the - code - to | 294 | Barcode Scanner | 
| 9 | ring - not - it - do - work | 282 | Update | 
| 10 | shake - it - the - phone - to | 263 | Shake Mission | 
| 11 | horoscope - be - it - and - news | 99 | Horoscope/News | 
| 12 | hot - phone - overheat - my - heat | 93 | Overheating | 
| 13 | mb - space - storage - app - be | 21 | Storage Size | 
| 14 | challenge - solve - purpose - fun - winner | 21 | Challenges |
  
</details>

## Training hyperparameters

* calculate_probabilities: False
* language: english
* low_memory: False
* min_topic_size: 10
* n_gram_range: (1, 1)
* nr_topics: 50
* seed_topic_list: None
* top_n_words: 10
* verbose: False
* zeroshot_min_similarity: 0.85
* zeroshot_topic_list: ['android', 'premium*', 'ads', 'math', 'subscription', 'update', 'camera', 'shake', 'weather', 'snooze', 'loud', 'doesn', 'off']

## Framework versions

* Numpy: 1.26.4
* HDBSCAN: 0.8.38.post1
* UMAP: 0.5.6
* Pandas: 2.2.1
* Scikit-Learn: 1.5.2
* Sentence-transformers: 3.1.0
* Transformers: 4.44.2
* Numba: 0.60.0
* Plotly: 5.24.1
* Python: 3.10.15