You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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
The text was updated successfully, but these errors were encountered:
Thanks for creating the issue in ML-Nexus!🎉
Before you start working on your PR, please make sure to:
⭐ Star the repository if you haven't already.
Pull the latest changes to avoid any merge conflicts.
Attach before & after screenshots in your PR for clarity.
Include the issue number in your PR description for better tracking.
Don't forget to follow @UppuluriKalyani – Project Admin – for more updates!
Tag @Neilblaze,@SaiNivedh26 for assigning the issue to you.
Happy open-source contributing!☺️
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.
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
The text was updated successfully, but these errors were encountered: