Uzbek Sentiment Analysis using XLM-RoBERTa

This model was fine-tuned for Uzbek sentiment classification using multilingual transformer architectures.

Labels

  • negative
  • neutral
  • positive

Base Model

  • xlm-roberta-base

Description

The project compares classical machine learning approaches with transformer-based NLP models for low-resource Uzbek language sentiment analysis.

The model was trained using HuggingFace Transformers and PyTorch.

Tasks

  • Sentiment Classification
  • Uzbek NLP
  • Multilingual Text Classification
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