Rubert Tiny2 Russian Emotion Sentiment
A Russian emotion classification model fine-tuned based on lightweight RuBERT-tiny2, capable of recognizing five emotions
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Release Time : 4/21/2025
Model Overview
This model is used to identify five emotions in Russian text: aggression, anxiety, neutral, positive, and sarcasm.
Model Features
Lightweight model
Based on the rubert-tiny2 architecture, the model is compact with fast inference speed
Multi-emotion classification
Capable of recognizing five different emotional states, including aggression and anxiety
High accuracy
Achieves 89.11% accuracy on the validation set
Model Capabilities
Russian text sentiment analysis
Emotional state classification
Short text emotion recognition
Use Cases
Social media analysis
Forum sentiment monitoring
Analyzing emotional tendencies in Russian forum posts
Can identify negative emotions such as aggression and sarcasm
Customer service
Customer feedback analysis
Automatically classifying emotional states in Russian customer feedback
Helps identify anxious or angry customers
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