# Russian sentiment analysis

A Russian emotion classification model fine-tuned based on lightweight RuBERT-tiny2, capable of recognizing five emotions

A fine-tuned Russian multi-label emotion classification model based on RuBERT-tiny2, supporting 28 emotion categories recognition

A Russian multi-class sentiment classification model fine-tuned based on RuBERT, supporting neutral, positive, and negative sentiment classifications.

This is a Russian short-text sentiment classification model fine-tuned based on RuBERT-tiny2, supporting neutral, positive, and negative sentiment analysis.

A fine-tuned Russian text multi-label emotion classification model based on rubert-tiny2, capable of recognizing 9 emotional spectra.

A sentiment analysis model based on DeepPavlov/rubert-base-cased-conversational architecture, trained on the RuSentiment dataset, capable of identifying neutral, positive, and negative emotions in Russian text.

This is a model for sentiment classification of Russian text, built on the ruBERT conversational embedder, capable of identifying neutral, positive, and negative sentiments.

A sentiment analysis model based on DeepPavlov/rubert-base-cased-conversational architecture, trained on the RuReviews dataset for sentiment classification of Russian product reviews.

A Russian sentiment analysis model fine-tuned based on the SBERT-Large model, trained on the RuSentiment dataset, suitable for sentiment classification of social network text.

A Russian short-text sentiment classification model fine-tuned from rubert-tiny, supporting negative/neutral/positive three-way classification

A Russian short-text sentiment classification model based on the RuBERT architecture, supporting neutral, positive, and negative sentiment classification