saidziani/Arabic-News-Article-Classification
Automatic categorization of documents, consists in assigning a category to a text based on the information it contains. We'll follow different approach of Supervised Machine Learning.
This project helps classify Arabic news articles into predefined categories like Politics, Sports, or Culture. It takes raw Arabic news text as input and outputs a category label, helping content managers or media analysts quickly organize large volumes of news. The main users are professionals who need to sort and understand Arabic news content efficiently.
No commits in the last 6 months.
Use this if you need to automatically categorize Arabic news articles into broad topics for content management or analysis.
Not ideal if you need to classify non-news Arabic text or require highly nuanced sub-category classification beyond the eight defined categories.
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Language
Python
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Last pushed
Jan 01, 2019
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