https://github.com/rohanag03/document-clustering-topic-modeling
This project applies K-means and LDA to the Twenty Newsgroups dataset to group similar documents and discover underlying topics. Explore clustering and topic modeling techniques for organizing and understanding text data.
https://github.com/rohanag03/document-clustering-topic-modeling
data-science document-clustering k-means-clustering lda twenty-newsgroup
Last synced: 10 months ago
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This project applies K-means and LDA to the Twenty Newsgroups dataset to group similar documents and discover underlying topics. Explore clustering and topic modeling techniques for organizing and understanding text data.
- Host: GitHub
- URL: https://github.com/rohanag03/document-clustering-topic-modeling
- Owner: rohanag03
- License: mit
- Created: 2024-07-08T19:21:34.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-08T19:36:00.000Z (almost 2 years ago)
- Last Synced: 2025-01-10T23:43:08.006Z (over 1 year ago)
- Topics: data-science, document-clustering, k-means-clustering, lda, twenty-newsgroup
- Language: Jupyter Notebook
- Homepage:
- Size: 18.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0