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基于主题情感句的汉语评论文倾向性分析*
引用本文:杨江,彭石玉,侯敏.基于主题情感句的汉语评论文倾向性分析*[J].计算机应用研究,2011,28(2):568-571.
作者姓名:杨江  彭石玉  侯敏
作者单位:1. 武汉工程大学,外语学院,武汉,430205
2. 中国传媒大学有声媒体语言分中心,北京,100024
基金项目:国家语言资源监测与研究中心有声媒体分中心科研项目(YZYS10-03)
摘    要:提出一种基于主题情感句的汉语评论文倾向性分析方法.根据评论文的特点,采用一种基于n元词语匹配的方法识别主题,通过对比与主题的语义相似度和进行主客观分类抽取出候选主题情感句,计算其中相似度最高的若干个句子的情感倾向,将其平均值作为评论文的整体倾向.基于主题情感句的评论文倾向性分析方法避免了进行篇章结构分析,排除了与主题无...

关 键 词:主题情感句  评论文  倾向性分析  情感

Recognizing sentiment polarity in Chinese reviews based on topic sentiment sentences
YANG Jiang,PENG Shi-yu,HOU Min.Recognizing sentiment polarity in Chinese reviews based on topic sentiment sentences[J].Application Research of Computers,2011,28(2):568-571.
Authors:YANG Jiang  PENG Shi-yu  HOU Min
Abstract:This paper presented an approach to recognizing sentiment polarity in Chinese reviews based on topic sentiment sentences. Considering the features of Chinese reviews, it identified the topic of a review using an n-gram matching approach. To extract topic sentiment sentences, computed the semantic similarity of a candidate sentence and the ascertained topic and meanwhile determine whether the sentence was subjective. Selected a certain number of these sentences as representatives according to their semantic similarity value with relation to the topic. Calculated the average value of the representative topic sentiment sentences and regarded as the sentiment polarity of a review. Experiment result shows that the proposed method is feasible and can achieve relatively high precision.
Keywords:topic sentiment sentence  review  orientation analysis  sentiment
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