Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2494
Title: Mining on-line user reviews
Authors: Bin, Shi
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Issue Date: 2007
Source: Bin, S. (2007). Mining on-line user reviews.Master’s thesis, Nanyang Technological University, Singapore.
Abstract: 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.
URI: https://hdl.handle.net/10356/2494
DOI: 10.32657/10356/2494
Schools: School of Computer Engineering 
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

Files in This Item:
File Description SizeFormat 
BinShi07.pdfMain report2.89 MBAdobe PDFThumbnail
View/Open

Page view(s) 50

637
Updated on May 7, 2025

Download(s) 20

264
Updated on May 7, 2025

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.