💡[Feature]: Category Classifiaction of News using LSTM

[Stuti333]

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Feature Description

LSTM-based news category classification is a deep learning approach that automatically categorizes news articles into predefined categories (like politics, sports, technology, etc.). The LSTM (Long Short-Term Memory) network processes sequences of words from news text, capturing long-term dependencies and contextual information that are crucial for understanding the article's content. The model learns patterns in word sequences during training to predict the most appropriate category for any given news article input.

Use Case

Automatically sorting incoming news articles on platforms like Google News Personalizing news feeds based on user category preferences Organizing large archives of news articles in media organizations

Benefits

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Priority

Medium

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• [X] I have read the Contributing Guidelines
• [X] I'm a GSSOC'24 contributor
• [X] I want to work on this issue

[github-actions[bot]]

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[sanjay-kv]

please read the pinned issue

[github-actions[bot]]

Hello @Stuti333! Your issue #1579 has been closed. Thank you for your contribution!