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《Computer Engineering and Design》 2009-16
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Research on web page feature extraction method based on semantic orientation

SHEN Feng-xian1,ZHU Qiao-ming2(1.School of Computer Science and Technology of Soochow University,Suzhou 215006,China;2.Key Lab of Computer Information Processing Technology of Jiangsu Province,Suzhou 215006,China)  
Because the html page contains rich information,the traditional TFIDF formula is difficult to meet the requirements of content filtering systems.Some feature extraction methods for web filtering exist problems,semantic information is added,the TFIDF formula is improved and then a method of feature extraction is proposed.It is more suitable for web filtering.This method considers the length of features,the location information of pages and the semantic orientation information of features.The experimental results show that the method is suitable for feature extraction in real-time web page filtering with some practical value.
【Fund】: 国家自然科学基金项目(60673041);; 国家863高技术研究发展计划基金项目(2006AA01Z147)
【CateGory Index】: TP391.1
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