Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification

:  Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong HP Laboratories HPL-2010-161 Statistical GenerativeModels, Cross-domain Learning, Classification The distribution difference among multiple data domains has been considered for the cross-domain text classification problem. In this study, we show two new observations along this line. First, the data distribution difference may come from the fact that different domains use different key words to express the same concept. Second, the association between this conceptual feature and the document class may be stable across domains. These two issues are actually the distinction and commonality across data domains. Inspired by the above observations, we propose a generative statistical model, named Collaborative Dual-PLSA (CD-PLSA), to simultaneously capture both the domain distinction and commona...

• Type: Journal
• Year: 2010
• Where: CIKM
• Authors: Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong
• Keywords: CIKM 2010, Data Domains, Distribution Differences, Information Technology, Multiple Domains