Opinion Analysis for Online Reviews

ISBN-13: 9789813100435 / Angielski / Twarda / 2016 / 128 str.

Xiaoling Wang; Yuming Lin; Aoying Zhou

Opis

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.