Opinion Analysis For Online Reviews

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.

Product details

• Authors: Yuming Lin, Xiaoling Wang, Wang Xiaoling, Wang Xiaoling, Xiaoling Wang & Aoying Zhou Yuming Lin, Aoying Zhou
• Publisher: Ingram Publishers Services
• Languages: English
• Product format: Hardback
• Released: 28.07.2016
• EAN: 9789813100435
• ISBN: 978-981-3100-43-5
• Series: East China Normal University Scientific Reports
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Operating systems, user interfaces; COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics, Data capture and analysis, Data Capture & Analysis