Product feature extraction using natural language processing techniques

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Bibliographic Details
Main Author:	Dastjerdi, Niloufar Salehi
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TP Chemical technology
Online Access:	http://eprints.utm.my/id/eprint/32453/5/NurulHudaZamzuriMFKK2012.pdf
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id	my-utm-ep.32453
record_format	uketd_dc
spelling	my-utm-ep.324532021-06-13T06:19:38Z Product feature extraction using natural language processing techniques 2012 Dastjerdi, Niloufar Salehi TP Chemical technology 2012 Thesis http://eprints.utm.my/id/eprint/32453/ http://eprints.utm.my/id/eprint/32453/5/NurulHudaZamzuriMFKK2012.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TP Chemical technology
spellingShingle	TP Chemical technology Dastjerdi, Niloufar Salehi Product feature extraction using natural language processing techniques
description
format	Thesis
qualification_level	Master's degree
author	Dastjerdi, Niloufar Salehi
author_facet	Dastjerdi, Niloufar Salehi
author_sort	Dastjerdi, Niloufar Salehi
title	Product feature extraction using natural language processing techniques
title_short	Product feature extraction using natural language processing techniques
title_full	Product feature extraction using natural language processing techniques
title_fullStr	Product feature extraction using natural language processing techniques
title_full_unstemmed	Product feature extraction using natural language processing techniques
title_sort	product feature extraction using natural language processing techniques
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2012
url	http://eprints.utm.my/id/eprint/32453/5/NurulHudaZamzuriMFKK2012.pdf
_version_	1747816005954961408

Product feature extraction using natural language processing techniques

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