The Implementation Of The System Of Interest Tendency Analysis For Micro-blog Users Based On Advanced LDA Model

With the development of the Internet and social network. Micro-blog becomes one of the most influencial social network, which is famous for its excellent user experience. Users express their feelings on Micro-blog and communicate on this social network. Since the amount of data increased,it has performed a huge base of corpus.The purpose of the paper is to design and implement a system to analyze the potential interests for the users of Micro-blog, the system use sentiment classification algorithm to determine the emotional tendency of the users towards their interests. By implementing the system, it provides a more reliable and feasible implementation plan for the personalized recommendation service.Businesses based on the analysis of the user's interest in each user can carry out a more accurate message pushing method by using the system.The research in the paper built up a system to analyze the user interests in Micro-blog by implementing modules includes data capture module, interest analysis module and emotion classification module. By implementing the data capture module, the system get enough corpus from the social network; By implementing the interest analysis module, the system extracted the topic of interests from the corpus and predicted the user interest; By implementing the emotion classification module, the system analyze the emotion tendency toward user interests for the users.