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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Suke Li Jinmei Hao Zhong Chen |
| Copyright Year | 2010 |
| Description | Author affiliation: School of EECS, Peking University, Beijing, China (Suke Li; Zhong Chen) || Beijing Union University, China (Jinmei Hao) |
| Abstract | This work tries to find a possible solution to the basic research problem: how to conduct service quality evaluation through mining Web reviews? To address this problem, this work proposes a novel approach to service quality evaluation which has two essential subtasks: 1) finding the most important service aspects, and 2) measuring service quality using ranked service aspects. We propose three graph-based ranking models to rank service aspects and a simple linear method of measuring service quality. Empirical experimental results show all our three methods outperform the approach of Noun Frequency. We also show the effectiveness of our service quality evaluation method by conducting intensive regression experiments. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 1560081 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424468966 |
| e-ISBN | 9781424468997 |
| DOI | 10.1109/NLPKE.2010.5587817 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | opinion mining service aspect ranking Educational institutions Book reviews Service quality evaluation |
| Content Type | Text |
| Resource Type | Article |
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