文本情感倾向分析

A Survey on Sentiment Analysis

近年来,文本情感倾向研究受到研究界和企业界越来越多的关注,成为了自然语言处理、信息检索、数据挖掘等领域的研究热点之一。随着研究的不断深入,大量情感倾向分析的新方法、新问题也不断涌现。该文重点对文本情感倾向研究的前沿进展进行概括和分析。首先,结合近年来的研究成果,对文本情感倾向分析的两类主要问题进行了定义,并归纳了不同的倾向性表示方法。接下来,对倾向性分类、倾向性信息抽取、语料库与评测以及倾向性分析应用等方面的研究现状进行介绍。最后,总结了情感倾向性分析技术并对未来的发展进行了展望。由于国内对于文本情感倾向分析的研究起步较早,在一些问题的研究上处于国际前沿水平,已经发表了许多高水平论文,该文也将对此加以介绍。

In recent years,sentiment analysis（opinion mining） has received increasing attentions and becomes one of the most popular research topics in natural language processing,information retrieval and data mining.Along with the indepth researches,a large number of new problems have been discovered and a variety of novel sentiment analysis methods have been proposed.In this survey,we focus on summarizing and analyzing the classical and novel methods on this topic.Firstly,we discuss the definition of the sentiment analysis and summarize the expression methods under different definitions.The next sections cover the techniques on sentiment classification,feature-based sentiment analysis,benchmark dataset,evaluation and application.Finally,we conclude the topic and provide a brief description about the trends of sentiment analysis.Research communities in China have put much effort on this topic,and achieved a number of influential results and published lots of high-impact papers.In this paper,we will also pay attention to them.