CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
Dual Sentiment Analysis: Considering Two Sides of One Review
Xia, Rui1; Xu, Feng2; Zong, Chengqing3; Li, Qianmu1; Qi, Yong1; Li, Tao1,4
2015-08-01
发表期刊IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
卷号27期号:8页码:2120-2133
文章类型Review
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.
关键词Natural Language Processing Machine Learning Sentiment Analysis Opinion Mining
WOS标题词Science & Technology ; Technology
关键词[WOS]CLASSIFICATION
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS记录号WOS:000357692600009
引用统计
被引频次:20[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8867
专题模式识别国家重点实验室_自然语言处理
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xia, Rui]的文章
[Xu, Feng]的文章
[Zong, Chengqing]的文章
百度学术
百度学术中相似的文章
[Xia, Rui]的文章
[Xu, Feng]的文章
[Zong, Chengqing]的文章
必应学术
必应学术中相似的文章
[Xia, Rui]的文章
[Xu, Feng]的文章
[Zong, Chengqing]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。