Semantic characterisation : knowledge discovery for training set

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Semantic characterisation : knowledge discovery for training set

This paper has proposed the use Latent Semantic Indexing (LSI) to extract semantic information to make the best use of the existing knowledge contained in training sets : Semantic Characterisation (SemC). SemC uses LSI to capture the implicit semantic structure in documents by directly applying cate...

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Bibliographic Details
Main Authors:	Tan, Ping Ping, Narayanan, Kulathuramaiyer, Azlina, Ahmadi Julaihi
Format:	Article
Language:	English
Published:	International Journal of Innovation, Management and Technology 2013
Subjects:	Q Science (General) T Technology (General) ZA Information resources
Online Access:	http://ir.unimas.my/id/eprint/47/ http://ir.unimas.my/id/eprint/47/1/Semantic%20Characterisation%20%28abstract%29.pdf

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