A method of extracting word tendencies to understand popular subjects

Author

Morita, Kazuhiro ; Iwabu, Yuya ; Atlam, El-Sayed ; Fuketa, Masao ; Aoe, Jun-Ichi

Author_Institution

Inst. of Technol. & Sci., Univ. of Tokushima, Tokushima

fYear

2008

fDate

16-18 Dec. 2008

Firstpage

307

Lastpage

311

Abstract

In recent years, there has been a tremendous growth of online text information related to digital libraries, medical diagnostic systems, remote education, news sources and electronic commerce. There is a great need to search and organize huge amount of information in text documents. This paper focuses on word tendencies in documents and suggests an automatic extraction method for specific subject. Field judgment is conducted by using field association words, and similarity among word tendencies and other word tendencies is computed with information. Then word tendencies which have the same subject are grouped as one group and the important word tendencies are chosen from that group. Finally, a system suggests word tendencies from specific subjects, and fields are implemented.

Keywords

text analysis; automatic extraction method; digital libraries; electronic commerce; field association words; field judgment; medical diagnostic systems; news sources; online text information; popular subjects; remote education; text documents; word tendency extraction; Content management; Data mining; Earthquakes; Educational technology; Electronic commerce; Electronic mail; Medical diagnosis; Neural networks; Software libraries; Web and internet services;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Information Technology, 2008. IIT 2008. International Conference on

Conference_Location

Al Ain

Print_ISBN

978-1-4244-3396-4

Electronic_ISBN

978-1-4244-3397-1

Type

conf

DOI

10.1109/INNOVATIONS.2008.4781706

Filename

4781706