自动情感文本分类研究综述

A Literature Review on Automatic Sentiment Classification

情感分类及其应用是目前研究的一个热点,是自然语言处理,机器学习和心理学等多学科交叉的研究课题,在很多领域都有实际的应用,如产品的声誉分析,舆情跟踪,博客兴趣分析等。论文对情感分类目前国内外的研究概貌进行了分析,将现有文献中的研究方向分为四个类别,并对这四个类别分别进行了描述,对情感分类中的关键问题进行了研究,提出了情感分类的一般框架,最后对目前研究中存在的不足进行了讨论,对情感分类研究的发展方向进行了展望。

Sentiment classification and its applications have been witnessed a booming interest in nowadays research, it is a cross research of natural language processing,machine learning and psychology,and has practical applications in many fields,such as product reputation analysis,public opinion tracking,blogger interests analysis,and so on.This paper gives an overview of the current study on sentiment classification of domestic and international,divides research directions of existing literature into four categories,then describe these four categories in detail,and analyzes the key issues in this field,then proposes a general framework for sentiment classification,finally,discuss the shortcomings of current study,and predicts the development trend.