BERTopic and BERT-Text-Analysis

BERTopic
71
Verified
BERT-Text-Analysis
21
Experimental
Maintenance 10/25
Adoption 15/25
Maturity 25/25
Community 21/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 9/25
Stars: 7,443
Forks: 882
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 7
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
No risk flags
No License Stale 6m No Package No Dependents

About BERTopic

MaartenGr/BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

BERTopic helps you understand the main themes within a large collection of text documents. You provide a dataset of text, like customer reviews, news articles, or research abstracts, and it outputs a list of topics, each defined by a few key words, along with the documents belonging to them. This is ideal for data analysts, researchers, or anyone needing to quickly grasp the core subjects in unstructured text.

text-analysis market-research document-categorization content-discovery qualitative-analysis

About BERT-Text-Analysis

AdirthaBorgohain/BERT-Text-Analysis

Text Analysis done on a business text dataset using KeyBERT and BERTopic

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