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# Uzbek Text Classification
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# Uzbek Text Classification
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A machine learning model for automatic multi-class text classification of Uzbek news articles and documents across 11 thematic categories.
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## Categories (11 Classes)
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- **Sport**: Sports news, football, and athletic competitions
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- **Avto**: Automotive industry, vehicles, and transportation
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- **Iqtisodiyot**: Economics, banking, finance, and trade
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- **Texnologiya**: Information technology, AI, computing, and innovations
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- **Salomatlik**: Health, medicine, prevention, and wellness
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- **Qonunchilik**: Legislation, law, and regulatory decrees
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- **Jinoyat**: Crime, law enforcement, and court news
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- **Madaniyat**: Culture, arts, literature, and cinema
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- **Pazandachilik**: Culinary recipes and food
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- **Ayollar**: Women, family, and lifestyle
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- **Foto**: Photo reports and visual stories
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## Scientific Research
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- **Author:** Ulugbek Salaev (Urgench State University)
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- **Paper:** *A Morphology-Aware Neural Network Model for Uzbek Text Classification (IEEE APEIE 2025)*
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- **Research Portfolio:** [uzmorph.uz](https://uzmorph.uz)
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