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Product feature extraction using natural language processing techniques

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Main Author: Dastjerdi, Niloufar Salehi
Format: Thesis
Language:English
Published: 2012
Subjects:
L Education (General)
Online Access:http://eprints.utm.my/id/eprint/32456/1/AzizahRazakMFP2010.pdf
http://eprints.utm.my/id/eprint/32456/
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id my.utm.32456
record_format eprints
spelling my.utm.324562021-06-13T06:20:51Z http://eprints.utm.my/id/eprint/32456/ Product feature extraction using natural language processing techniques Dastjerdi, Niloufar Salehi L Education (General) 2012 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/32456/1/AzizahRazakMFP2010.pdf Dastjerdi, Niloufar Salehi (2012) Product feature extraction using natural language processing techniques. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic L Education (General)
spellingShingle L Education (General)
Dastjerdi, Niloufar Salehi
Product feature extraction using natural language processing techniques
format Thesis
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
publishDate 2012
url http://eprints.utm.my/id/eprint/32456/1/AzizahRazakMFP2010.pdf
http://eprints.utm.my/id/eprint/32456/
_version_ 1703960422708674560
score 13.211869

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