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Internet public opinion found and views Mining Technology

Author: LuoYin
Tutor: FuYan
School: University of Electronic Science and Technology
Course: Software Engineering
Keywords: Internet public opinion View mining Text mining Natural Language Processing
CLC: TP393.09
Type: Master's thesis
Year: 2010
Downloads: 733
Quote: 5
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The beginning of the new century, information technology a profound impact on individuals, the organization's information interaction and relationships. Network media has become one of the main carrier reflect public opinion. Recent years, often at home and abroad of major incidents immediately on the network media caused a strong reaction and a high degree of media attention, this phenomenon is a tremendous impact on different social and cultural groups and social structure. Development of information technology, especially the emergence of computer networks and social complexity, the rapid improvement of the level of interaction, making contemporary social science, management science, and information science has been unable to cope with the complex dynamics of modern network society brought about modeling, analysis, management and control challenges. Network the sharp double-edged sword \Becomes more and more urgent due to the enormous amount of information online, only to rely on artificial means difficult to deal with the collection and processing of massive network information, and take full advantage of modern information technology, and timely response to the network public opinion, and thus guidance and control technology needs . In order to solve the above problem, the network public opinion technology to carry out a wide range of study and research, extensive analysis of the characteristics of the network coverage for emergencies on the basis of the information extraction research emergencies. The study includes: the topic of Internet public opinion WEB hot public opinion found that the mining of public opinion point of view. One of the most important innovation is that: with existing Internet public opinion analysis system in the analysis method. The existing methods are based on content-based text mining techniques to discover public opinion, hot events, ignoring the mining and analysis of Internet users in the public view of public opinion event information. This paper uses the Internet public opinion analysis view mining-based intelligent network monitoring public opinion, not only concerned about the content of the information is more important is to dig out the holistic view of the tendency of the public hot events; research and application of the key technologies for further The Internet macro analysis of public opinion, based on monitoring public opinion to establish, and ultimately accurate and effective early warning of Internet public opinion. The paper designs and implements a network point of view of public opinion collection system for the classification and categorization of the network public opinion point of view collection system focused on the page while ignoring the lack of emotional trends of Internet users netizens emotional trend analysis. From the experimental results, the system to achieve a better collection of network public opinion point of view, and extract the current hot events netizens emotions tend results show that the system achieved good practical value.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > The application of computer network
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