The Analysis Of Blog Author Reputation Degree

With the development of Web2.0, many applied platforms have developed rapidly based on the Web2.0. Blog is the main representative of the spread platforms. As we known, Blog's characteristics of freedom, arbitrary and divergence also make it been the generation and dissemination of public opinion on the main site, so the release of the Blog comment of spam comments, duplicate comments and Blog authors degree of reputation and other information also highlights the importance.In this paper, though the comments and Blog content to get a comprehensive measure of two angles to get Blog author's reputation degree.We do not only take traditional hits and number of comments based on the authors rank, but also considering quality and content of Blog Review and Blog Contents, and through the semantic feature to analysis the emotion keynote of the Blog content which using the Sentences joint assessment method based on the Paragraph to evaluate, the comprehensive these elements together with page view and so on to judge the comment orientation and then compute the Blog author reputation degree and finally get the author of the blog site for new ranking. It is verified that the method of better judgment the review emotion orientation, makes more reasonable the author rankings, gets more accurate and efficient information Blog for the users to use.After using on the extraction of Sina Blog as the training set, and we mainly analysis and rank a few top-ranked Blog author for reputation. Our experiments show that this method can effectively get out the reputation of the author, can be more just to get the author's rankings. This approach helps the network space for comments on the Blog a collection of network management and monitoring of public opinion in a timely manner, propose the calculation of Blog authors effective reputation analysis method.