Opinion Analysis for Online Reviews
-
- USD 54.99
-
- USD 54.99
Descripción editorial
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.
Otros libros de esta serie
Review Comment Analysis for E-commerce
2016
Discovery And Fusion Of Uncertain Knowledge In Data
2017
Time-Aware Conversion Prediction for E-Commerce
2018
Network Data Mining and Analysis
2018
Concurrency Control and Recovery in OLTP Systems
2019
Clustering and Outlier Detection for Trajectory Stream Data
2020