Weighted SCL model for adaptation of sentiment classification

doi:10.1016/j.eswa.2011.02.106

	Weighted SCL model for adaptation of sentiment classification
	Tan, Songbo 1; Wang, Yuefen 2
	2011-08-01
发表期刊	EXPERT SYSTEMS WITH APPLICATIONS
ISSN	0957-4174
卷号	38 期号:8 页码:10524-10531
摘要	In recent years, Structural Correspondence Learning (SCL) is regarded as one of the most promising techniques for transfer learning. The main idea behind SCL model is to identify correspondences among features from different domains by modeling their correlations with pivot features. However, SCL model treats each feature as well as each instance by an equivalent-weight strategy. From the perspective of feature, this strategy fails to overcome the adverse influence of high-frequency domain-specific (HFDS) features: they occupy a relative large portion of weight in classification model, while hardly carry corresponding sentiment information. From the other perspective, the equivalent-weight strategy of SCL model does not take into account the labels ("positive" or "negative") of labeled instance and the labels of pivot features: positive pivot features tend to occur more frequently in positive instances and vice versa. To address the two issues effectively, we proposed a weighted SCL model (W-SCL), which weights the features as well as the instances. More specifically, W-SCL assigns a smaller weight to HFDS features and assigns a larger weight to instances with the same label as the involved pivot feature. The experimental results indicate that proposed W-SCL model could overcome the adverse influence of HFDS features, and leverage knowledge from labels of instances and pivot features. (C) 2011 Elsevier Ltd. All rights reserved.
关键词	Sentiment analysis Opinion mining Information retrieval Data mining
DOI	10.1016/j.eswa.2011.02.106
收录类别	SCI
语种	英语
资助项目	[60933005] ; [60803085]
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号	WOS:000290237500167
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/13211
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Tan, Songbo
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Network, Beijing, Peoples R China 2.Chinese Acad Geol Sci, Informat Ctr, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Tan, Songbo,Wang, Yuefen. Weighted SCL model for adaptation of sentiment classification[J]. EXPERT SYSTEMS WITH APPLICATIONS,2011,38(8):10524-10531.
APA	Tan, Songbo,&Wang, Yuefen.(2011).Weighted SCL model for adaptation of sentiment classification.EXPERT SYSTEMS WITH APPLICATIONS,38(8),10524-10531.
MLA	Tan, Songbo,et al."Weighted SCL model for adaptation of sentiment classification".EXPERT SYSTEMS WITH APPLICATIONS 38.8(2011):10524-10531.