Comparison of Tourism Data Using Double Ranking

Author

Hirokawa, Sachio ; Zeng, Jun

Author_Institution

Res. Inst. for Inf. Technol., Kyushu Univ., Fukuoka, Japan

fYear

2011

fDate

19-20 Dec. 2011

Firstpage

67

Lastpage

72

Abstract

The prompt discovery and mining of user\´s reputation, opinion and complaint are becoming a hot topic in the field of search engine for Blog and Twitter. This paper proposes "Double Rank" method to analyze the search result using two viewpoints, where the polarity degree of keywords in the search results are evaluated from the viewpoints. Most previous researches concern mainly in positive and negative evaluation as for the polarity degree. Two viewpoints are specified as the search condition in the present paper. The blog articles related to sightseeing are analyzed as case studies, where the characteristics and the sightseeing situation are compared for two prefectures.

Keywords

data mining; search engines; social networking (online); travel industry; Blog; Twitter; double rank method; keyword polarity degree; negative evaluation; positive evaluation; search condition; search engine; sightseeing situation; tourism data comparison; user complaint; user mining; user opinion; user reputation; Blogs; Cows; Feature extraction; Filling; Indexes; Marine animals; Search engines; Feature words; Ranking; Sentiment Analysis; Tourism blog;

fLanguage

English

Publisher

ieee

Conference_Titel

Software and Network Engineering (SSNE), 2011 First ACIS International Symposium on

Conference_Location

Seoul

Print_ISBN

978-1-4673-0349-1

Type

conf

DOI

10.1109/SSNE.2011.28

Filename

6150025