Dual Sentiment Analysis: Considering Two Sides of One Review

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 自然语言处理团队

	Dual Sentiment Analysis: Considering Two Sides of One Review
	Xia, Rui 1; Xu, Feng 2; Zong, Chengqing3 ; Li, Qianmu 1; Qi, Yong 1; Li, Tao 1,4
刊名	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
	2015-08-01
卷号	27 期号:8 页码:2120-2133
关键词	Natural language processing machine learning sentiment analysis opinion mining
英文摘要	Bag-of-words (BOW) is now the most popular way to model text in statistical machine learning approaches in sentiment analysis. However, the performance of BOW sometimes remains limited due to some fundamental deficiencies in handling the polarity shift problem. We propose a model called dual sentiment analysis (DSA), to address this problem for sentiment classification. We first propose a novel data expansion technique by creating a sentiment-reversed review for each training and test review. On this basis, we propose a dual training algorithm to make use of original and reversed training reviews in pairs for learning a sentiment classifier, and a dual prediction algorithm to classify the test reviews by considering two sides of one review. We also extend the DSA framework from polarity (positive-negative) classification to 3-class (positive-negative-neutral) classification, by taking the neutral reviews into consideration. Finally, we develop a corpus-based method to construct a pseudo-antonym dictionary, which removes DSA's dependency on an external antonym dictionary for review reversion. We conduct a wide range of experiments including two tasks, nine datasets, two antonym dictionaries, three classification algorithms, and two types of features. The results demonstrate the effectiveness of DSA in supervised sentiment classification.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
关键词[WOS]	CLASSIFICATION
收录类别	SCI
语种	英语
WOS记录号	WOS:000357692600009
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/8867]
专题	自动化研究所_模式识别国家重点实验室_自然语言处理团队
作者单位	1.Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210046, Jiangsu, Peoples R China 2.Nanjing Univ Sci & Technol, Sch Econ & Management, Nanjing, Jiangsu, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 4.Florida Int Univ, Sch Comp & Informat Sci, Miami, FL 33199 USA
推荐引用方式 GB/T 7714	Xia, Rui,Xu, Feng,Zong, Chengqing,et al. Dual Sentiment Analysis: Considering Two Sides of One Review[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2015,27(8):2120-2133.
APA	Xia, Rui,Xu, Feng,Zong, Chengqing,Li, Qianmu,Qi, Yong,&Li, Tao.(2015).Dual Sentiment Analysis: Considering Two Sides of One Review.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,27(8),2120-2133.
MLA	Xia, Rui,et al."Dual Sentiment Analysis: Considering Two Sides of One Review".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 27.8(2015):2120-2133.