# Indonesian sentiment analysis

An emotion detection model fine-tuned based on mDeBERTa-v3, supporting emotion classification in Indonesian and English

A fine-tuned Indonesian three-class sentiment analysis model based on IndoBertweet, suitable for social media text analysis

Fine-tuned from a pre-trained Indonesian BERT model, used for sentiment analysis of Indonesian comments and reviews, and can classify text into three categories: negative, neutral, and positive.

This is a BERT model based on the Indonesian language, specifically designed for sentiment classification tasks.