文本情感可视分析技术及其在人文领域的应用

Text sentiment visual analysis technology and its application in humanities

情感分析是对信息情感倾向的挖掘,主要用于舆情监测、商品评论分析以及信息检索等方面。随着社交媒体的快速发展,文本数据量呈现爆炸性增长,文本情感分析成为自然语言处理领域重要的研究热点之一。与此同时,由于情感数据具有海量、时变、非结构性、强关联性的特点,能够直观高效地呈现情感倾向的可视分析技术在这个领域得到广泛应用。回顾了近年来的情感可视分析研究,从表现形式——“主题词”“关联”“演变”“时空分布”4个方面阐述文本情感可视分析方法,并对未来情感分析技术及文本情感可视分析研究进行展望。

Sentiment analysis is the mining of information sentiment tendency,which is mainly used for public opinion monitoring,commodity review analysis,and information retrieval.With the rapid development of social media,the volume of text data has shown explosive growth,and text sentiment analysis has become one of the important research hotspots in the field of natural language processing.At the same time,due to the characteristics of massive,time-varying,unstructured and strongly correlated sentiment data,visual analysis techniques that can present sentiment tendencies intuitively and efficiently are widely used in this field.The recent research on visual analysis of sentiment was reviewed,and according to the presentation form“topic words”,“association”,“evolution”,“spatial and temporal distribution”four aspects of text sentiment visual analysis methods were described,and future sentiment analysis techniques as well as text sentiment visual analysis research were foreseen.