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Opinion Analysis For Online Reviews (9789813100435)



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

  • Hardback | 128 pages
  • 152.4 x 231.14 x 15.24mm | 408.23g
  • Singapore, Singapore
  • English
  • 9813100435
  • 9789813100435


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