Graph-based service quality evaluation through mining Web reviews
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...
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| creator | Suke Li Jinmei Hao Zhong Chen |
| description | 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. |
| doi_str_mv | 10.1109/NLPKE.2010.5587817 |
| format | Conference Proceeding |
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| ispartof | Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010), 2010, p.1-8 |
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| language | eng |
| recordid | cdi_ieee_primary_5587817 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Educational institutions opinion mining service aspect ranking Service quality evaluation |
| title | Graph-based service quality evaluation through mining Web reviews |
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