DocumentCode
2348432
Title
Graph-based service quality evaluation through mining Web reviews
Author
Suke Li ; Hao, Jinmei ; Chen, Zhong
Author_Institution
Sch. of EECS, Peking Univ., Beijing, China
fYear
2010
fDate
21-23 Aug. 2010
Firstpage
1
Lastpage
8
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.
Keywords
Internet; data mining; graph theory; regression analysis; service industries; Web reviews mining; graph based service quality evaluation; linear method; noun frequency; ranked service aspects; regression experiments; Book reviews; Educational institutions; Service quality evaluation; opinion mining; service aspect ranking;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering (NLP-KE), 2010 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-6896-6
Type
conf
DOI
10.1109/NLPKE.2010.5587817
Filename
5587817
Link To Document