DocumentCode
1911097
Title
Extraction of Tourist Behavior Contexts from Blog by Verbs and Their Objects
Author
Nakatoh, Tetsuya ; Hirokawa, Sachio
Author_Institution
Res. Inst. for Inf. Technol., Kyushu Univ., Fukuoka, Japan
fYear
2012
fDate
20-22 Sept. 2012
Firstpage
112
Lastpage
116
Abstract
Blog articles by tourists contain interesting and personal experiences of where and how they have gone, what they have done and what they thought. Such individual experiences are helpful in many cases compared to the general and official information about the tourist resort by tourist agents. However, it is not easy to choose related articles and to extract still more nearly required information from these unsorted blog articles. This paper proposes a technique of feature extraction by dependency analysis of verbs and objects in those sentences that describe tourist´s behavior. This paper applied the method to 7,917,385 blog articles on Kyushu area and reports some analysis on ``where and what did they eat´´ as case studies.
Keywords
Web sites; feature extraction; natural language processing; travel industry; Kyushu area; blog; bog article; dependency analysis; feature extraction; sentence; tourist behavior context extraction; verbs; Blogs; Cities and towns; Concrete; Data mining; Feature extraction; Portals; Search engines;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Applied Informatics (IIAIAAI), 2012 IIAI International Conference on
Conference_Location
Fukuoka
Print_ISBN
978-1-4673-2719-0
Type
conf
DOI
10.1109/IIAI-AAI.2012.31
Filename
6337168
Link To Document