Tendency Analysis Of Subjective Comments Towards BBS

In order to promote socialist democracy and harmonious development of society, the network has turned into an important stage for exchange of views and comments. BBS is now. becoming a communication platform to express speech of freedom, their personal views and attitudes. BBS contains a mass of information on public opinion. To enable the Government to quickly collect information on public forums, to timely grasp the public views, attitudes and subjeptive comments about the most concerned topics during various periods and to monitor BBS public opinion information, then a correct and scientific decision-making will be made. Text tendency analysis has developed greatly in the whole identification of attitudes and subjective tendency analysis of the subjective.comments texts or product reviews. Overseas, Emotion Analysis software made by British Coppola Software Company can determine a newspaper article on whether party policy or online products commentaries hold a positive attitude or a negative attitude. In China, public opinion monitoring and analysis system of Fangzheng helps monitoring department with public opinion information assessment, analysis and planning so as to provide early warning information.Whether it is based on semantics or machine learning of BBS text tendency analysis, a word document or pattern set will be handled, calculate and find all preference values of these phrases or patterns, and then the results will be added together to determine the BBS text tendency polarity value. The theme evaluation object of BBS and its corresponding polarity tendency would not only be refined, but also the relationship between Subject-Predicate and Verb-Object structure is ignored. So combined with polarity dictionary and dependency parsing and corresponding algorithm, the tendency analysis of subjective comments towards BBS will be carried out, and then we establish some mathematical models for the theme trend detection and analysis. Main tasks: (1)Information extraction technology based on Html and DOM tree is utilized to extract BBS unstructured text, and then disable word filtering and Chinese word segregation is pretreated and will be stored in XML.(2)Combined with a sentimental dictionary and dependency parsing technology, using polarity tendency identification algorithm to identify topic words and the polarity of their corresponding emotional words, so as to achieve to calculate and analyze polarity tendency of topic orientation sentences of the subjective comments towards BBS. Through the integration of positive and negative sentimental dictionary and negative dictionary, we could calculate the tendency value of the topic tendency sentence towards BBS comment information and calculate the context polarity tendency value and use the tendency identification algorithm to get the theme topic polarity tendency value.(3)A improved method computing and analyzing context polarity value is proposed that we are able to add identification mark of keywords and relationship between Subject-Predicate and Verb-Object structure to improve SBV(Subjective-Verb, Subject-Predicate structure of the syntax) algorithm, in order to make up for the disadvantages of keywords judgment error and polarity tendency. (4)Based on the tendency analysis against BBS, polarity theme model, focus theme model and sensitive theme model are established to find the theme trend. (5)Comparative Experiments validate that the BBS tendency analysis approach proposed in this paper has higher validity and feasibility.