Opinion Analysis For Online Reviews, Hardback Book

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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.

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