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 |
DOI | 10.1007/978-3-319-60045-1_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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