Feature Hierarchy Construction And Extraction Algorithm In Chinese Opinion Mining

With the development of Web technology, the subjective text in the network increased sharply. Subjective web page not only gives other users objective reference,but also producer can adjust his product designing and marketing strategy according to opinion from users. Therefore, subject text is catching more people's eyes .In recent years, Data mining has become a hot spot.In Chinese opinion mining area,relative researcher pay more attention to get the semantic orientation accurately,on the another side of the coin,less people do researching about archiving the Feature hierarchy accurately。However,feature hierarchy can play very important part in semantic orientation analysis and opinion paper understanding.Its contribution to the main content of this article:①Because of the important function in Chinese text mining, describing the application of different corpus in opinion mining and analyzing different function of corpus for feature extracting. For different corpus, the different extracting algorithm of feature hierarchy was obtained.②Introducing some special phrase syntaxes which contain'is-a'and'part of'relation, and trying to analyzing'is-a'relation of concepts in the de phrase. At last, summarizing a method which using tdf/idf function to get the'is-a'relation in the de phrase.③Getting a new application of PMI statistic algorithm after researching. Using special phrase syntax as key word to query sophisticate business search engine, and then using the number queried by searching engine to count the words'hierarchy relation.④Analyzing the feature-opinion word pair extracting algorithm in Chinese Opinion Mining. The contrast between Bootstrapping algorithm and Association Rule Mining algorithm was made.Executable of PMI algorithm's application in extraction of feature hierarchy has been proved by the experiment. And researching in this paper provides a new thinking and orientation for PMI algorithm application in Chinese Opinion Mining, and bears better science meaning and definite utility reference value.