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CarlosMorales/
bbc_news_topics

Name: bbc_news_topics
Availability: InStock

bertopic

text-classification

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bbc_news_topics

This is a 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("CarlosMorales/bbc_news_topics")

topic_model.get_topic_info()

Topic overview

Number of topics: 3
Number of training documents: 100

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	the - of - to - and - eu	28	-1_the_of_to_and
0	the - of - to - and - in	6	0_the_of_to_and
1	the - to - of - and - in	66	1_the_to_of_and

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: None
top_n_words: 10
verbose: False
zeroshot_min_similarity: 0.7
zeroshot_topic_list: None

Framework versions

Numpy: 1.26.4
HDBSCAN: 0.8.33
UMAP: 0.5.6
Pandas: 2.2.1
Scikit-Learn: 1.4.1.post1
Sentence-transformers: 2.6.1
Transformers: 4.39.3
Numba: 0.59.1
Plotly: 5.20.0
Python: 3.11.6