Abstract

In view of the frequent occurrence of Internet public opinion on the Internet, this paper analyzes the Internet public opinion monitoring and analysis system requirements and business processes. It introduces five-layer architecture of public opinion monitoring and analysis system, which consist of information automatic collection, information preprocessing, public opinion database, public opinion analysis and service, as well as public opinion visualization and report. Then, we study the implementation of key technologies in the system, including public opinion information collection technology, information search and clustering analysis, speech analysis and trend prediction analysis. Compared with the original system, the extraction accuracy of the theme and the accuracy of predicting the trend of public opinion for this redesigned system are significantly improved, which further verify the correctness of the proposed scheme.

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