Mining on-line user reviews

In this report, we propose a system for mining on-line user product reviews. Each sentence in a review is analyzed to extract the user’s opinion / orientation of a product feature. The sentiment / orientation towards each product feature is the tallied across all users to generate an overall scoring...

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Bibliographic Details
Main Author:	Bin, Shi
Other Authors:	Chang Kuiyu, Julian
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Online Access:	https://hdl.handle.net/10356/2494
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-2494
record_format	dspace
spelling	sg-ntu-dr.10356-24942023-03-04T00:43:45Z Mining on-line user reviews Bin, Shi Chang Kuiyu, Julian School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval In this report, we propose a system for mining on-line user product reviews. Each sentence in a review is analyzed to extract the user’s opinion / orientation of a product feature. The sentiment / orientation towards each product feature is the tallied across all users to generate an overall scoring for the product and its individual features. For testing purposes, we extract reviews from the Chinese cell phone on-line community. MASTER OF ENGINEERING (SCE) 2008-09-17T09:04:06Z 2008-09-17T09:04:06Z 2007 2007 Thesis Bin, S. (2007). Mining on-line user reviews.Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2494 10.32657/10356/2494 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
spellingShingle	DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Bin, Shi Mining on-line user reviews
description	In this report, we propose a system for mining on-line user product reviews. Each sentence in a review is analyzed to extract the user’s opinion / orientation of a product feature. The sentiment / orientation towards each product feature is the tallied across all users to generate an overall scoring for the product and its individual features. For testing purposes, we extract reviews from the Chinese cell phone on-line community.
author2	Chang Kuiyu, Julian
author_facet	Chang Kuiyu, Julian Bin, Shi
format	Theses and Dissertations
author	Bin, Shi
author_sort	Bin, Shi
title	Mining on-line user reviews
title_short	Mining on-line user reviews
title_full	Mining on-line user reviews
title_fullStr	Mining on-line user reviews
title_full_unstemmed	Mining on-line user reviews
title_sort	mining on-line user reviews
publishDate	2008
url	https://hdl.handle.net/10356/2494
_version_	1759858247919992832

Mining on-line user reviews

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