Udvidet returret til d. 31. januar 2025
Bag om 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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789813100435
  • Indbinding:
  • Hardback
  • Sideantal:
  • 128
  • Udgivet:
  • 28. juli 2016
  • BLACK NOVEMBER
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Leveringstid: 2-3 uger
Forventet levering: 26. november 2024

Beskrivelse af 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.

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