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Rubert Conversational Cased Sentiment
This is a model for sentiment classification of Russian text, built on the ruBERT conversational embedder, capable of identifying neutral, positive, and negative sentiments.
Downloads 55
Release Time : 3/2/2022
Model Overview
This model is specifically designed for sentiment analysis tasks in Russian text, trained on the ruBERT conversational embedder, and can classify the sentiment of input Russian text.
Model Features
Russian sentiment analysis
Sentiment classification model specifically designed for Russian text
Three-class system
Capable of identifying neutral, positive, and negative emotional states
Based on ruBERT
Utilizes the ruBERT conversational embedder as the foundational architecture
Model Capabilities
Russian text sentiment classification
Natural language processing
Sentiment recognition
Use Cases
Social media analysis
Sentiment analysis of Russian social media comments
Analyze the sentiment tendencies of user comments on Russian social media
Identify positive, negative, or neutral sentiments in comments
Customer feedback analysis
Sentiment analysis of Russian customer feedback
Analyze the sentiment tendencies in Russian customer feedback
Help understand customer satisfaction
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