Opinion Analysis for Online Reviews
Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Database Management, General Computing
| Author: | Yuming Lin, Xiaoling Wang, Aoying Zhou | ISBN: | 9789813100466 |
| Publisher: | World Scientific Publishing Company | Publication: | June 2, 2016 |
| Imprint: | WSPC | Language: | English |
| Author: | Yuming Lin, Xiaoling Wang, Aoying Zhou |
| ISBN: | 9789813100466 |
| Publisher: | World Scientific Publishing Company |
| Publication: | June 2, 2016 |
| Imprint: | WSPC |
| Language: | English |
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.
Contents:
- Introduction
- Related Works
- Preliminaries
- Term's Sentiment-Based Review Opinion Analysis
- Multiple Classifier System for Opinion Analysis
- Optimization of Base Classifier Selection
- Opinion Spam Detection
- Conclusions
Readership: Researchers, academics, professionals and graduate students in databases, artificial intelligence and pattern recognition.
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.
Contents:
- Introduction
- Related Works
- Preliminaries
- Term's Sentiment-Based Review Opinion Analysis
- Multiple Classifier System for Opinion Analysis
- Optimization of Base Classifier Selection
- Opinion Spam Detection
- Conclusions
Readership: Researchers, academics, professionals and graduate students in databases, artificial intelligence and pattern recognition.
