A method of extracting word tendencies to understand popular subjects

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 focus...

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Bibliographic Details
Main Authors: Morita, K., Iwabu, Y., Atlam, E.-S., Fuketa, M., Aoe, J.-i.
Format: Conference Proceeding
Language:English
Subjects:
Content management
Data mining
Earthquakes
Educational technology
Electronic commerce
Electronic mail
Medical diagnosis
Neural networks
Software libraries
Web and internet services
Online Access:Request full text
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Summary: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.
DOI:10.1109/INNOVATIONS.2008.4781706