AIbase
EN
Home
Rubert Tiny2 Ru Go Emotions
R

Rubert Tiny2 Ru Go Emotions

Developed by r1char9
A fine-tuned Russian multi-label emotion classification model based on RuBERT-tiny2, supporting 28 emotion categories recognition
Text Classification
Transformers
 OtherOpen Source License:MIT#Russian sentiment analysis#Multi-label classification#Tiny BERT model
Downloads 56
Release Time : 2/13/2024

Model Overview

This model is specifically designed for sentiment analysis of Russian texts, capable of identifying multiple emotions expressed in the text, suitable for scenarios such as social media monitoring and user feedback analysis.

Model Features

Multi-label emotion recognition
Can simultaneously identify multiple emotions expressed in the text, rather than single emotion classification
Russian language optimization
Specifically trained and optimized for Russian texts
Lightweight model
Based on tiny BERT architecture with lower computational resource requirements
Wide emotion coverage
Supports recognition of 28 different emotion categories

Model Capabilities

Russian text sentiment analysis
Multi-label classification
Emotion recognition

Use Cases

Social media analysis
User comment sentiment analysis
Analyze user sentiment tendencies in Russian social media comments
Can identify multiple emotional states expressed in comments
Customer feedback analysis
Product feedback sentiment classification
Perform sentiment classification on Russian customer feedback
Helps identify customer satisfaction levels and main concerns
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase