Semantic characterisation : knowledge discovery for training set

• Main Authors: Tan, Ping Ping, Narayanan, Kulathuramaiyer, Azlina, Ahmadi Julaihi
• Format: E-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/47/1/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
• Institution: Universiti Malaysia Sarawak

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...