Title :
Extraction of Hints and Advice from Hotel Reviews for Improving Small Hotel Management
Author :
Hirokawa, Sachio ; Okada, Masayuki ; Hashimoto, Koji
Author_Institution :
Res. Inst. for Inf. Technol., Kyushu Univ., Fukuoka, Japan
Abstract :
There are various kinds of and huge amounts of hotel information both from providers and customers. Hotel information by hotels and travel agents are reliable. A much large number of reviews by general users are available, which might be less reliable compared to the official ones. However, those reviews are helpful, since we can hear their personal experience and opinion. This paper proposes a method to find hints and advice for improving small hotel management by extracting and analyzing the feature words of reviews. This paper focuses on the secondary major words and compares their occurrence probabilities in the business customer´s review with the family customer´s review. A visual interpretation is proposed by mapping the feature words on Word Net.
Keywords :
database management systems; feature extraction; hotel industry; travel industry; Word Net; advice extraction; business customer review; family customer review; hint extraction; hotel information; hotel reviews; occurrence probability; review feature word analysis; review feature word extraction; secondary major words; small hotel management; travel agents; visual interpretation; Blogs; Business; Correlation; Data mining; Feature extraction; Internet; Rail transportation; Blog; Feature Extraction; Hotel; Review; SME; Word Net;
Conference_Titel :
Commerce and Enterprise Computing (CEC), 2012 IEEE 14th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-6246-7
DOI :
10.1109/CEC.2012.37