OPINION ANALYSIS FOR ONLINE REVIEWS eBook

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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.

This is a digital product.

OPINION ANALYSIS FOR ONLINE REVIEWS is written by Lin Yuming; Wang Xiaoling; Zhou Aoying and published by World Scientific. The Digital and eTextbook ISBNs for OPINION ANALYSIS FOR ONLINE REVIEWS are 9789813100459, 9813100451 and the print ISBNs are 9789813100435, 9813100435.