An Adaptive Method to Identify the Web Sensitive Information
Web public sentiment reflects the peoples attitude to society and politics, its important to identify the web sensitive information correctly to build a harmonious network. Those existing monitoring systems relied on large common category libraries to do accurate identification, yet faced with the new and unknown events which is not recorded in the category libraries did not do in-depth research. In view of this situation, this article proposes an adaptive method combination of content identification and acts recognition to achieve accurate and effective identification of web sensitive information.
Web sensitive information Content identification Acts recognition Document classification
FengYao Zeng Hui Gao Yan Fu
School of Computer Science and Engineering, University of Electronic Science& Technology of China Chengdu Sichuan 610037, China
国际会议
Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)
上海
英文
199-202
2009-12-26（万方平台首次上网日期，不代表论文的发表时间）