Opinion Analysis For Online Reviews (Hardcover)

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.

General

Imprint:	World Scientific Publishing Co Pte Ltd
Country of origin:	Singapore
Series:	East China Normal University Scientific Reports, 4
Release date:	July 2016
First published:	2016
Authors:	Yuming Lin • Xiaoling Wang • Aoying Zhou
Dimensions:	231 x 152 x 15mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	128
ISBN-13:	978-981-3100-43-5
Categories:	Books > Computing & IT > Applications of computing > Databases > Data capture & analysis
LSN:	981-3100-43-5
Barcode:	9789813100435

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