Opinion analysis for online reviews

Author(s)

• Lin, Yuming
• Wang, Xiaoling
• Zhou, Aoying

Bibliographic Information

Opinion analysis for online reviews

Yuming Lin, Xiaoling Wang, Aoying Zhou

（East China Normal University scientific reports, v. 4）

World Scientific, c2016

• : hc

Note

Includes bibliographical references (p. 99-108) and index

Contents of Works

• Introduction
• Related works
• Preliminaries
• Terms : sentiment-based review opinion analysis
• Multiple classifier system for opinion analysis
• Optimization of base classifier selection
• Opinion spam detection
• Conclusions

Description and Table of Contents

Description

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.

by "Nielsen BookData"

Details

• NCID: BC1224396X
• ISBN:
  • 9789813100435
• LCCN: 2016000703
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Hackensack, N.J.
• Pages/Volumes: xiii, 111 p.
• Size: 24 cm
• Classification:
  • LCC : HM1236
  • DC23 : 025.042
• Subject Headings:
  • LCSH : Public opinion
  • LCSH : Internet users -- Attitudes
  • LCSH : Consumers -- Attitudes
  • LCSH : Data mining
  • LCSH : Web sites -- Public opinion
  • LCSH : Web sites -- Ratings and rankings
• Parent Bibliography ID:
  • BB19378948