A two-layer SVM classification mechanism for Chinese blog article

Guo Heng Luo*, Jia Chiam Liu, Shyan-Ming Yuan

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

In Taiwan, the famous bloggers can be regard as professional writers now. More and more people subscribe their RSS (Really Simple Syndication) to receive updated information. But readers might only interest in few categories of articles, readers need to filter other articles by themselves. In order to help people select the information they want, this research proposed a two-layer SVM classification mechanism to classify blog articles. The schema is also evaluated in this research and the experiment result the proposed schema achieves 87% of recall and 95% of precision.

原文English
主出版物標題Proceedings - 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2011
頁面9-15
頁數7
DOIs
出版狀態Published - 2011
事件3rd International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2011 - Beijing, China
持續時間: 10 10月 201112 10月 2011

出版系列

名字Proceedings - 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2011

Conference

Conference3rd International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2011
國家/地區China
城市Beijing
期間10/10/1112/10/11

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