Opinion Analysis for Online Reviews

by Yuming Lin, Aoying Zhou, Xiaoling Wang

This book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining, including theories, algorithms and datasets. A new feature presentation method is highlighted for sentiment classification. Then, a three-phase framework for sentiment classification is proposed, where a set of sentiment classifiers are selected automatically to make predictions. Such predictions are integrated via ensemble learning. Finally, to solve the problem of combination explosion encountered, a greedy algorithm is devised to select the base classifiers.

• Format: Hardcover
• Language: English
• ISBN: 9813100435
• ISBN13: 9789813100435
• Release Date: August 2016
• Publisher: World Scientific Publishing Company
• Length: 128 Pages
• Weight: 0.90 lbs.
• Dimensions: 0.6" x 6.0" x 9.1"