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# Multi-category sentiment
Indonesian Sentiment
MIT
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.
Text Classification
Transformers
TransformersI
taufiqdp
1,830
2
Rubert Tiny Sentiment Balanced
A Russian short-text sentiment classification model fine-tuned from rubert-tiny, supporting negative/neutral/positive three-way classification
Text Classification Transformers Other
Transformers OtherR
cointegrated
63.23k
16
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