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Knowledge discovery method to accomplish English document classification | IEEE Conference Publication | IEEE Xplore

Knowledge discovery method to accomplish English document classification


Abstract:

Although there is much research of text classification based on vector spaces using word information in the whole text, generally humans can recognize the field by findin...Show More

Abstract:

Although there is much research of text classification based on vector spaces using word information in the whole text, generally humans can recognize the field by finding the specific words. This paper describes what is field-associated term and how to discover field-associated terms, which exist in any text. In this paper, such words are called a field association (FA) word that can be directly related to the field classification. Five criteria of FA terms are defined for hierarchical fields. All of them are stored to field tree to make use of extraction of field-coherent passages for document classification. The presented approach is estimated by the simulation results of 140 fields text files of sports field and extended by 197 text field of civil engineering.
Date of Conference: 19-21 May 2005
Date Added to IEEE Xplore: 12 September 2005
Print ISBN:0-7803-9035-0
Conference Location: Kagawa, Japan

References

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