Opinion Analysis for Online Reviews

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.

• | Author: Yuming Lin, Xiaoling Wang, Aoying Zhou
• | Publisher: World Scientific Publishing Company
• | Publication Date: Aug 02, 2016
• | Number of Pages: NA pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 9813100443
• | ISBN-13: 9789813100442