Mining restaurants information by micro blog text analysis

Author

Zhong-Liang Xiang ; Xiang-Ru Yu ; Dae-Ki Kang

Author_Institution

Comput. Software Inst., Weifang Univ. of Sci. & Technol., Shouguang, China

fYear

2015

fDate

1-3 July 2015

Firstpage

634

Lastpage

638

Abstract

Micro-blogging is widely used nowadays. Most of the users normally write down their daily experience, feeling or emotion on their wall. This includes uploading photos of food they have taken. Some friends of this user might be interested in trying this food of which the photo has been uploaded by this user. However, it could be difficult for the friends to search that particular food on the Web as well as the exact location of the restaurant. In this paper, we provide a system that allows the users to search a particular food and produce the nearby restaurants on the Google Map. The proposed system will make the users to get the exact location of the restaurant easily.

Keywords

Web sites; data mining; information retrieval; text analysis; Google Map; World Wide Web; food searching; microblog text analysis; restaurant information mining; restaurant location; Blogs; Computer science; Data mining; Google; Twitter; Writing; Cloud computing; Food store searching; Google map; Micro-blogging; Web Application;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Technology (ICACT), 2015 17th International Conference on

Conference_Location

Seoul

Print_ISBN

978-8-9968-6504-9

Type

conf

DOI

10.1109/ICACT.2015.7224874

Filename

7224874