Analysis and design of internet monitoring system on public opinion based on cloud computing and NLP

Authors:
Hui Wen;Peiguang Lin;Yaobin Hu
Affiliations:
School of Computer & Information Engineering, Shandong University of Finance, Jinan;School of Computer & Information Engineering, Shandong University of Finance, Jinan;School of Computer & Information Engineering, Shandong University of Finance, Jinan
Venue:
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
Year:
2012

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Abstract

This paper analyzes and designs a monitoring system on public topic based on cloud computing and NLP technology. The system solves the internet massive data processing and computational complexity based on Hadoop platform; it realizes the analysis on the web page, extraction of public opinion and tracking technology based on NLP techniques and machine learning technology; it also can analyze the feelings on the users' comments and further determine the trend of public topic based on emotional thesaurus; finally, it provides a visual interface and the retrieval interface for users to use this system. Implementation of the system will improve the efficiency and quality of public topic.