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Sbert Ru Sentiment Rusentiment

Developed by sismetanin
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.
Downloads 1,509
Release Time : 3/2/2022

Model Overview

This model is specifically designed for sentiment analysis of Russian social media text and can identify positive, negative, or neutral emotions in the text.

Model Features

Russian sentiment analysis
Sentiment analysis capabilities optimized specifically for Russian social media text
Based on SBERT-Large
Based on the powerful SBERT-Large model architecture, with excellent semantic understanding capabilities
Multi-dataset evaluation
Comprehensively evaluated on multiple Russian sentiment analysis benchmark datasets

Model Capabilities

Russian text sentiment classification
Social media text analysis
Sentiment polarity identification

Use Cases

Social media analysis
Sentiment analysis of VKontakte posts
Analyze the sentiment tendency of user posts on the Russian social network VKontakte
Achieved an accuracy of 78.58% on the RuSentiment dataset
Customer feedback analysis
Sentiment analysis of Russian customer reviews
Analyze the sentiment tendency in Russian customer reviews
Achieved an F1 score of 77.41% on the RuReviews dataset
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