Title :
Weighing Stars: Aggregating Online Product Reviews for Intelligent E-commerce Applications
Author_Institution :
Arizona Univ., Tuczon, AZ
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;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2008.95
