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|Title:||Background net approach for text categorization based on contextual association as term co-occurrence||Authors:||Lo, S.-L.
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|Issue Date:||2013||Citation:||Lo, S.-L.,Ding, L. (2013). Background net approach for text categorization based on contextual association as term co-occurrence. ICIC Express Letters 7 (2) : 369-375. ScholarBank@NUS Repository.||Abstract:||Background net previously proposed is a novel approach for capturing and representing background information as a knowledge background accumulated through incremental learning on contextual association of terms in articles. As a continued study on background net, this article further discusses the contextual association as co-occurrence between terms captured on background net. Our theoretical analysis shows that the term association is useful information for representing documents. The experiments on text categorization with representative data sets support this analysis. © 2013 ISSN 1881-803X.||Source Title:||ICIC Express Letters||URI:||http://scholarbank.nus.edu.sg/handle/10635/114670||ISSN:||1881803X|
|Appears in Collections:||Staff Publications|
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