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Automated discovery of concepts from text

The proposed framework combines machine learning and semantic modeling in enabling the discovery process. The framework enables the extraction of concepts and the formulation of a structured organization and labeling of concepts to be used by text processing applications such as text summarization a...

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Bibliographic Details
Main Author: Ong, Siou Chin
Format: Thesis
Language:English
Published: Faculty of Computer Science and Information Technology 2008
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/509/1/Ong%20Siou%20Chin%20ft.pdf
http://ir.unimas.my/id/eprint/509/
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spelling my.unimas.ir.5092023-06-21T03:30:11Z http://ir.unimas.my/id/eprint/509/ Automated discovery of concepts from text Ong, Siou Chin TK Electrical engineering. Electronics Nuclear engineering The proposed framework combines machine learning and semantic modeling in enabling the discovery process. The framework enables the extraction of concepts and the formulation of a structured organization and labeling of concepts to be used by text processing applications such as text summarization and text categorization. Faculty of Computer Science and Information Technology 2008 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/509/1/Ong%20Siou%20Chin%20ft.pdf Ong, Siou Chin (2008) Automated discovery of concepts from text. Masters thesis, Universiti Malaysia Sarawak (UNIMAS).
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ong, Siou Chin
Automated discovery of concepts from text
description The proposed framework combines machine learning and semantic modeling in enabling the discovery process. The framework enables the extraction of concepts and the formulation of a structured organization and labeling of concepts to be used by text processing applications such as text summarization and text categorization.
format Thesis
author Ong, Siou Chin
author_facet Ong, Siou Chin
author_sort Ong, Siou Chin
title Automated discovery of concepts from text
title_short Automated discovery of concepts from text
title_full Automated discovery of concepts from text
title_fullStr Automated discovery of concepts from text
title_full_unstemmed Automated discovery of concepts from text
title_sort automated discovery of concepts from text
publisher Faculty of Computer Science and Information Technology
publishDate 2008
url http://ir.unimas.my/id/eprint/509/1/Ong%20Siou%20Chin%20ft.pdf
http://ir.unimas.my/id/eprint/509/
_version_ 1769847601663836160
score 13.211869

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