DocumentCode
870000
Title
Weighing Stars: Aggregating Online Product Reviews for Intelligent E-commerce Applications
Author
Zhang, Zhu
Author_Institution
Arizona Univ., Tuczon, AZ
Volume
23
Issue
5
fYear
2008
Firstpage
42
Lastpage
49
Abstract
A new task in text-sentiment analysis adds usefulness scoring to polarity/ opinion extraction to improve product- review ranking services, helping shoppers and vendors leverage information from multiple sources. Human language is a medium not only for exchanging information but also for conveying subjective opinions and emotion. Recently, interest in text-subjectivity and sentiment analysis has increased as part of the larger research effort in affective computing, which aims to make computers understand and generate human-like emotions through language and other expressive activities such as gesture.
Keywords
computational linguistics; electronic commerce; emotion recognition; text analysis; gesture recognition; human language; human-like emotion; intelligent e-commerce application; online product review; text-sentiment analysis; Information Search and Retrieval; Machine learning; Text mining; Web mining; Web text analysis;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/MIS.2008.95
Filename
4629725
Link To Document