GithubTopicMiner:GitHub Repository Topics Extraction Using BeautifulSoup and NLP

[Niraj1608]

Project Overview
The GitHub Topic Extractor is a Python-based tool that scrapes repositories from GitHub and extracts relevant topics using Natural Language Processing (NLP). Leveraging BeautifulSoup for HTML parsing and NLP techniques such as tokenization and keyword extraction, this tool automates the identification of key topics or themes associated with GitHub repositories.

Technologies used:

Python
BeautifulSoup (for HTML scraping)
Requests (for making HTTP calls)
NLP libraries like NLTK for text processing

[github-actions]

Thanks for creating the issue in ML-Nexus!🎉
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[github-actions]

Thanks for raising this issue! However, we believe a similar issue already exists. Kindly go through all the open issues and ask to be assigned to that issue.

[Niraj1608]

@UppuluriKalyani @Neilblaze @SaiNivedh26

could you please review this project idea and reopen the issue? I checked, and there are no similar issues currently open. :)

[UppuluriKalyani]

@Niraj1608 Assigned

[Niraj1608]

hey @UppuluriKalyani i build this project also i scrap not only topics , the repo. and readme file too and added summarization model too .could you pls increase the level of the issue ? i attached code file too for review .
github_scraper.ipynb - Colab.pdf

[github-actions]

Hello @Niraj1608! Your issue #378 has been closed. Thank you for your contribution!