基于CiteSapce的国内网民情感识别可视化研究

Visualization Research of Domestic Netizens Emotion Recognition Based on CiteSpace

近年来,国内情感识别领域研究发展迅速,但仍缺乏对已有进展的整理统计。为找出该领域内研究不足和未来发展趋势,文章基于中国知网(CNKI)中的国内情感识别相关文献进行样本检索,通过文献计量法对样本进行多维度分析;利用可视化工具(CiteSpace)探究样本关键词及发展阶段。结果表明其研究热点主要围绕语音情感识别、支持向量机、深度学习等;历经了起步探索、发展强化至深化研究三个阶段;未来情感识别领域的研究趋势将集中于语音情感识别等方向。

In recent years,the research in the field of emotion recognition in China has developed rapidly,but there is still a lack of sorting and statistics of the existing progress.In order to find out the lack of research and future development trend in this field,based on the domestic emotion recognition related literatures in China National Knowledge Internet(CNKI),this paper carries out sample retrieval,multi-dimensional analysis of the samples through bibliometrics,and uses visualization tools(CiteSpace)to explore the sample keywords and development stages.The results show that it's research hotspots mainly focus on speech emotion recognition,support vector machine and deep learning;it has gone through three stages:initial exploration,development and strengthening to in-depth research;the research trend in the field of emotion recognition will focus on speech emotion recognition in the future.