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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| Main Authors: | , , |
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| Format: | E-Article |
| Language: | English |
| Published: |
International Journal of Innovation, Management and Technology
2013
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/47/1/Semantic%20Characterisation%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/47/ http://ir.unimas.my/47/1/Semantic%20Characterisation%20%28abstract%29.pdf |
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