Xiao-Feng Cao
School of Computer Science and technology, Nantong University, Nantong, 226019, China
Wei Kang
School of Computer Science and technology, Nantong University, Nantong, 226019, China
Quan Shi
School of Computer Science and technology, Nantong University, Nantong, 226019, China
Fang-fang Shi
School of Computer Science and technology, Nantong University, Nantong, 226019, China
ABSTRACT
Sensitive information (i.e., negative hot topics, negative incident, bad information etc.) filter is the information filtering that is important and very difficult task. Aim at the problems of detection time lag, low accuracy and Poor adaptability etc in internet sensitive information detecting, This project, with the Chinese text media (web page, blog, BBS et al) in internet as the research object,using technologies of opinion mining,machine learning, High performance computing and natural language processing etc, research on adaptive multi-filtering model of network sensitive information, to adaptive identify sensitive information from the overall and semantic view. The research results will provide technical support for public opinion monitoring, business intelligence and aid making decision application system development.
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How to cite this article
Xiao-Feng Cao, Wei Kang, Quan Shi and Fang-fang Shi, 2013. Research on Adaptive Multi-filtering Model of Network Sensitive Information. Information Technology Journal, 12: 3958-3963.
DOI: 10.3923/itj.2013.3958.3963
URL: https://scialert.net/abstract/?doi=itj.2013.3958.3963
DOI: 10.3923/itj.2013.3958.3963
URL: https://scialert.net/abstract/?doi=itj.2013.3958.3963
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