Mining on-line user reviews

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
Description
Summary: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.

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