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Description
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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
Record
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