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基于深度学习的会话情感识别研究

Emotion Recognition in Conversation based on Deep Learning
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摘要 在自然语言处理领域中,机器理解人类的情感是一项重要且艰巨的研究,其中会话情感识别任务是重点对象。依托近年来深度学习的发展,文章针对会话情感识别的研究进展和成果,分类阐述其主要特点、难点和主流模型,并对会话情感识别在未来的研究趋向进行总结和展望。 In the field of natural language processing,machine understanding of human emotions is an important and challenging research,with conversational emotion recognition being a key focus.With the recent advancements in deep learning,this article categorically presents the research progress and achievements in emotion recognition during conversations.It outlines the main characteristics and challenges of this task,along with mainstream models and methods.Additionally,the article provides a summary and outlook on the future research trends in conversation emotion recognition.
作者 戈琳 韦新佳 GE Lin;WEI Xinjia(College of Computer and Information Engineering,Nanning Normal University,Nanning Guangxi 530100,China;Labao Second Primary School in Liujiang District,Liuzhou City,Liuzhou Guangxi 545100,China)
出处 《信息与电脑》 2023年第23期141-143,共3页 Information & Computer
关键词 深度学习 自然语言处理 会话情感识别 deep learning natural language processing emotion recognition in conversation
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