计算机应用 ›› 2011, Vol. 31 ›› Issue (12): 3321-3323.

• 人工智能 • 上一篇    下一篇

中文文本情感分析综述

魏韡1,2,向阳2,陈千2   

  1. 1. 井冈山大学 电子与信息工程学院,江西 吉安 343009
    2. 同济大学 电子与信息工程学院,上海 201804
  • 收稿日期:2011-05-04 修回日期:2011-06-27 发布日期:2011-12-12 出版日期:2011-12-01
  • 通讯作者: 魏韡
  • 基金资助:
    江西省教育厅科技项目

Survey on Chinese text sentiment analysis

WEI Wei1,2,XIANG Yang2,CHEN Qian2   

  1. 1. College of Electronics and Information Engineering, Jinggangshan University, Ji’an Jiangxi 343009,China
    2. College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
  • Received:2011-05-04 Revised:2011-06-27 Online:2011-12-12 Published:2011-12-01
  • Contact: WEI Wei

摘要: 由于主观性文本有很多应用价值,情感分析近年来引起了很多研究人员的兴趣。情感分析是对主观性文本进行挖掘与分析,获取有用的知识和信息。针对中文文本情感分析的研究现状与进展进行总结。首先按粒度层次,从词语级、语句级、篇章级三个不同粒度层次细致地介绍相关的技术,再按文本的类型,分析了产品评论和新闻评论的研究进展。接着介绍了中文文本情感分析的评测和相关资源,最后总结了中文文本情感分析的研究难点与未来的研究方向。

关键词: 情感分析, 情感极性, 中文文本, 评测, 语料库

Abstract: The sentiment analysis has aroused the interest of many researchers in recent years,since the subjective texts are useful for many applications. Sentiment analysis is to mine and analyze the subjective text, aiming to acquire valuable knowledge and information. This paper surveyed the status of the art of Chinese sentiment analysis. Firstly, the technique was introduced in detail, according to different granularity levels, namely word, sentence, and document; and the research of product review and news review were presented respectively. Then evaluation and corpus for Chinese text sentiment analysis were introduced. The difficulty and trend of Chinese text sentiment analysis were concluded finally. This paper focuses on the major methods and key technologies in this field, making detailed analysis and comparison.

Key words: sentiment analysis, sentiment polarity, Chinese text, evaluation, corpus set

中图分类号: