网页在线评论情感倾向的直觉模糊分类  

Sentiment classification for online comments based on intuitionistic fuzzy reasoning

作　　者：王海[1] 冯向前[1,2] 钱钢[1,2] 

机构地区：[1]南京师范大学计算机科学与技术学院,南京210046 [2]江苏省信息安全保密技术工程研究中心,南京210098

出　　处：《计算机工程与应用》2013年第1期148-151,共4页Computer Engineering and Applications

基　　金：江苏省高校自然科学研究项目(No.11KJD630001)

摘　　要：网页在线评论的情感分类关系到个人决策、企业管理甚至社会安全。提出了一种基于直觉模糊推理的情感分类方法,通过样本库的学习将特征在分类时的不确定性分别用隶属度、非隶属度、犹豫度定量地描述,同时定量地考虑程度副词、转折词、否定词对表达情感的作用,然后通过对特征的直觉模糊信息的集结,按词组、句子、文本三个级别依次合其情感倾向,得到文本的情感倾向。在对公开语料库的比较实验中证明了该方法的正确性和分类性能。An approach of sentiment classification for online comments based on intuitionistic fuzzy reasoning is presented on the basis of the analysis of characteristics of sentiment classification. The approach employs membership function, non-membership function and hesitant function to depict uncertainties of features, quantitatively, by sample training, as well as sentiment expres- sions influenced by adverbs of degree, conjunctions and negative words are considered. Then the semantic orientation of a text is synthesized on the level of phrases, sentences and texts in sequence by means of aggregations of intuitionistic fuzzy information of features. The validity and high performance of the presented approach is testified when comparable experiments are done using public corpus.

关 键 词：中文信息处理 文本分类 情感分类 直觉模糊集 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]