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.
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Wen, H., Lin, P., Hu, Y. (2012). Analysis and Design of Internet Monitoring System on Public Opinion Based on Cloud Computing and NLP. In: Wang, F.L., Lei, J., Gong, Z., Luo, X. (eds) Web Information Systems and Mining. WISM 2012. Lecture Notes in Computer Science, vol 7529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33469-6_65
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DOI: https://doi.org/10.1007/978-3-642-33469-6_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33468-9
Online ISBN: 978-3-642-33469-6
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