GitHub TopicMiner: Topics extraction tool from the web using BeautifulSoup and NLP

UppuluriKalyani / ML-Nexus

ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!

https://ml-nexus.vercel.app/

MIT License

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GitHub TopicMiner: Topics extraction tool from the web using BeautifulSoup and NLP #376

Closed Niraj1608 closed 1 month ago

Niraj1608 commented 1 month ago

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[bot] commented 1 month ago

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