Research On Techniques Of Analysing Topic Evolvement And Diffusion In Internet

With the rapid development of Internet technology, the importance of the supervision of network public opinion has been gradually recognized. At present, the analysis technology on network public opinion has become a hot topic at home and abroad, and has achieved some results including topic detection, topic tracking, automatic summary, trend analysis and early warning of public opinion. In order to solve the problem on topic evolvement and diffusion in network, in this thesis we tried to provide strong technical support for the supervision of network public opinion. The main content of this thesis are as follows.The analysis technology of the topic evolvement has been studied based on multi-center and vector decomposition. To address the topic drift problem and show the process of the topic evolvement, we use the multi-center topic model to describe the aspects of a topic. In order to achieve the establishment and updating of the topic center we apply the vector decomposition method to find the new features of follow-up documents. Then, we put forward the project to solve the topic evolvement problem combined with incremental clustering. Experimental results show that the project can effectively improve the performance of the topic detection, and show the process of the topic evolvement clearly.The topic diffusion analysis technology based on diffusion map and multivariate linear regression has been studied. Among Bulletin Board System(BBS), we study the technology to discover transmitting relations based on comparing similarity and matching words. We establishes the diffusion map on BBS to explore the initial diffusion BBS and computing diffusion period. In BBS, we study the index system affecting topic diffusion to achieve the diffusion trend forecast based on multivariate linear regression theory. Experiments show that the project can detect the topic diffusion path, and predict the topic diffusion trend accurately. To sum up, based on researching and summarizing the analysis technology on network public opinion, in this paper we focus on the content and behavior characteristics of the topic and analyze topic evolvement and diffusion. In experiments we validate feasibility and actual results of the project. It contributes to the advancement of the supervision of network public opinion. Finally, this paper also analyze the trend of development in the field.