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Uzbek Sentiment Analysis V5

Developed by blackhole33
A lightweight Uzbek sentiment analysis model based on DistilBERT for text sentiment classification
Downloads 16
Release Time : 4/27/2024

Model Overview

This model is an optimized sentiment analysis model for the Uzbek language, capable of classifying the sentiment tendency of input Uzbek texts. Based on the DistilBERT architecture, it maintains high accuracy while offering faster inference speed.

Model Features

Lightweight and Efficient
Based on the DistilBERT architecture, it is smaller and faster than standard BERT models while maintaining high accuracy.
Optimized for Uzbek
Specifically trained and optimized for Uzbek texts.
Ready-to-Use
Provides simple pipeline interfaces for quick integration into applications.

Model Capabilities

Uzbek text sentiment analysis
Text classification
Sentiment tendency judgment

Use Cases

Social media analysis
User comment sentiment analysis
Analyze the sentiment tendency of Uzbek social media comments
Accuracy 78.6%, F1 score 78.8%
Customer feedback analysis
Product review classification
Classify Uzbek product reviews as positive/negative
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