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Rubert Tiny2 Ru Go Emotions
基于RuBERT-tiny2微调的俄语多标签情感分类模型，支持28种情感类别识别
Downloads 56
Release Time : 2/13/2024
Model Overview
该模型专门用于俄语文本的情感分析，能够识别文本中表达的多种情感，适用于社交媒体监控、用户反馈分析等场景。
Model Features
多标签情感识别
可同时识别文本中表达的多种情感，而非单一情感分类
俄语优化
专门针对俄语文本进行训练和优化
轻量级模型
基于微型BERT架构，计算资源需求较低
广泛情感覆盖
支持28种不同情感类别的识别
Model Capabilities
俄语文本情感分析
多标签分类
情绪识别
Use Cases
社交媒体分析
用户评论情感分析
分析俄语社交媒体评论中的用户情感倾向
可识别评论中表达的多种情感状态
客户反馈分析
产品反馈情感分类
对俄语客户反馈进行情感分类
帮助识别客户满意度和主要关注点
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