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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 book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining, including theories, alg
The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the n
Digital reviews play a critical role in improving global customer interaction and shaping consumer purchasing habits. E-commerce websites generate thousands of
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written langu
