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Uzbek News Category Classifier
U
Uzbek News Category Classifier
Developed by coppercitylabs
This model classifies Uzbek news articles into 11 categories by fine-tuning UzBERT.
Downloads 6
Release Time : 3/2/2022
Model Overview
A news classifier fine-tuned based on the UzBERT model, specifically designed for the automatic classification of Uzbek news articles, supporting 11 news categories.
Model Features
Multi-category classification
Supports precise classification of 11 news categories, including international, social, crime, economic, cultural, etc.
Fine-tuning based on UzBERT
Fine-tunes using the pre-trained UzBERT model to optimize classification performance for Uzbek news.
Large-scale training data
Fine-tuning training was conducted for 3 epochs based on approximately 60,000 news articles.
Model Capabilities
Uzbek text classification
Automatic news article classification
Multi-category probability prediction
Use Cases
News media
Automatic news classification
Automatically classify news articles for news websites or applications to improve content organization efficiency.
The accuracy reaches a relatively high level (specific values not provided)
Content analysis
News trend analysis
Analyze the distribution and trends of different categories of news through classification results.
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