DocumentCode
3337843
Title
On exploring airline service features from massive online review
Author
Boyan Yao ; Hua Yuan ; Yu Qian ; Liangqiang Li
Author_Institution
Sch. of Manage. & Econ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2015
fDate
22-24 June 2015
Firstpage
1
Lastpage
6
Abstract
In this work, we propose a research framework to exploring the useful information about airline service from massive online reviews, especially, the airline service features from the customer perspective. The experimental results indicate that the proposed methods can extract information about customers´ opinion about the airline service features. The common concerns as well as special features for different airline company can also be extracted efficiently from the massive online review data.
Keywords
Internet; customer satisfaction; travel industry; airline service features; customer opinion; customer perspective; information extraction; massive online review; Airports; Atmospheric modeling; Companies; Data mining; Feature extraction; Industries; Web sites; Airline service; feature extraction; online review; service feature;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Systems and Service Management (ICSSSM), 2015 12th International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4799-8327-8
Type
conf
DOI
10.1109/ICSSSM.2015.7170270
Filename
7170270
Link To Document