Title
Identifying individual expectations in service recovery through natural language processing and machine learning
Abstract
•A method to identify individual expectations for service recovery is proposed.•New expectation classification is presented based on extant literature.•Word2vec and machine learning algorithms are used to detect expectations.•SVMs and Naïve Bayesian classifiers are selected in the method.
Year
DOI
Venue
2019
10.1016/j.eswa.2019.04.063
Expert Systems with Applications
Keywords
Field
DocType
Service recovery,Service recovery expectations,Machine learning,Natural language processing,Customer expectation detection method
Data mining,Computer science,Data acquisition,Service recovery,Variables,Artificial intelligence,Word2vec,Classifier (linguistics),Cross-validation,Machine learning
Journal
Volume
ISSN
Citations 
131
0957-4174
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yijiang Liu100.68
Yinghong Wan211.37
Xiao Su300.34