Opinion analysis for online reviews
著者
書誌事項
Opinion analysis for online reviews
（East China Normal University scientific reports, v. 4）
World Scientific, c2016
- : hc
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注記
Includes bibliographical references (p. 99-108) and index
収録内容
- Introduction
- Related works
- Preliminaries
- Terms : sentiment-based review opinion analysis
- Multiple classifier system for opinion analysis
- Optimization of base classifier selection
- Opinion spam detection
- Conclusions
内容説明・目次
内容説明
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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