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Aspect-Based Rating Prediction on Reviews Using Sentiment Strength Analysis
Wang, Yinglin1; Huang, Yi2; Wang, Ming1
2017
关键词Opinion mining Sentiment strength analysis Aspect-based rating
卷号10351
DOI10.1007/978-3-319-60045-1_45
页码439-447
英文摘要This paper aims at demonstrating sentiment strength analysis in aspect-based opinion mining. Previous works normally focused on reviewers' sentiment orientation and ignored sentiment strength that users expressed in the reviews. In order to offset this disadvantage, two methods for sentiment strength evaluation were proposed. Experiments on a huge hotel review dataset show how sentiment strength analysis can improve the performance of aspect rating prediction.
会议录出版者SPRINGER INTERNATIONAL PUBLISHING AG
会议录出版地GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
语种英语
WOS研究方向Computer Science
WOS记录号WOS:000453052500045
内容类型会议论文
源URL[http://10.2.47.112/handle/2XS4QKH4/3010]  
专题上海财经大学
作者单位1.Shanghai Univ Finance & Econ, Dept Comp Sci & Technol, Shanghai, Peoples R China;
2.Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai, Peoples R China
推荐引用方式
GB/T 7714
Wang, Yinglin,Huang, Yi,Wang, Ming. Aspect-Based Rating Prediction on Reviews Using Sentiment Strength Analysis[C]. 见:.
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