Title :
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
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;
Conference_Titel :
Advanced Communication Technology (ICACT), 2015 17th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-8-9968-6504-9
DOI :
10.1109/ICACT.2015.7224874
