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

# cnn_dailymail_22457_3000_1500_test

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("KingKazma/cnn_dailymail_22457_3000_1500_test")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 9
* Number of training documents: 1500

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | mccoy - jockey - ap - champion - winner | 15 | -1_mccoy_jockey_ap_champion | 
| 0 | said - one - year - also - told | 9 | 0_said_one_year_also | 
| 1 | league - season - player - goal - game | 994 | 1_league_season_player_goal | 
| 2 | labour - mr - said - miliband - leader | 290 | 2_labour_mr_said_miliband | 
| 3 | race - hamilton - rosberg - mercedes - marathon | 84 | 3_race_hamilton_rosberg_mercedes | 
| 4 | england - cricket - test - pietersen - anderson | 32 | 4_england_cricket_test_pietersen | 
| 5 | ncaa - first - game - college - basketball | 30 | 5_ncaa_first_game_college | 
| 6 | masters - spieth - augusta - hole - round | 28 | 6_masters_spieth_augusta_hole | 
| 7 | mayweather - fight - pacquiao - boxing - vegas | 18 | 7_mayweather_fight_pacquiao_boxing |
  
</details>

## Training hyperparameters

* calculate_probabilities: True
* language: english
* 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

## Framework versions

* Numpy: 1.22.4
* HDBSCAN: 0.8.33
* UMAP: 0.5.3
* Pandas: 1.5.3
* Scikit-Learn: 1.2.2
* Sentence-transformers: 2.2.2
* Transformers: 4.31.0
* Numba: 0.56.4
* Plotly: 5.13.1
* Python: 3.10.6