Mining on-line user reviews
Date of Issue2007
School of Computer Engineering
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.
DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Nanyang Technological University