• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Opinion Analysis for Online Reviews

Opinion Analysis for Online Reviews

Paperback

Series: East China Normal University Scientific Reports, Book 4

DatabasesGeneral Computers

ISBN10: 9813100443
ISBN13: 9789813100442
Publisher: World Scientific Publishing Company
Published: Aug 2 2016
Pages: 128
Weight: 0.65
Height: 0.40 Width: 6.00 Depth: 9.00
Language: English

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.

1 different editions

Also available

Also from

Lin, Yuming

Also in

Databases