Title :
A Lexicon-Enhanced Method for Sentiment Classification: An Experiment on Online Product Reviews
Author :
Dang, Yan ; Zhang, Yulei ; Chen, Hsinchun
Author_Institution :
Univ. of Arizona, Tucson, AZ, USA
Abstract :
As an emerging communication platform, Web 2.0 has led the Internet to become increasingly user-centric. People are participating in and exchanging opinions through online community-based social media, such as discussion boards, Web forums, and blogs. Along with such trends, an increasing amount of user-generated content containing rich opinion and sentiment information has appeared on the Internet. Understanding such opinion and sentiment information has become increasingly important for both service and product providers and users because it plays an important role in influencing consumer purchasing decisions.
Keywords :
Internet; computational linguistics; consumer behaviour; social networking (online); Internet; Web 2.0; Web forums; blogs; consumer purchasing decisions; discussion boards; lexicon enhanced method; online community based social media; online product reviews; sentiment classification; user generated content; DVD; Digital cameras; Electronic mail; Home appliances; Intelligent systems; Learning systems; Machine learning; Management information systems; feature representation; intelligent systems; online product reviews; sentiment classification;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2009.105
