Using contextual features and multi-view ensemble learning in product defect identification from online discussion forums-Reference-Cited by-同舟云学术

Using contextual features and multi-view ensemble learning in product defect identification from online discussion forums

Published:2018-01 Issue: Volume:105 Page:1-12
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Liu Yao,Jiang Cuiqing,Zhao Huimin

Funder

National Natural Science Foundation of China

Humanities and Social Science Fund Research Planning of the Ministry of Education

educational commission of the Anhui province

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference44 articles.

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3. Identifying effective influencers based on trust for electronic word-of-mouth marketing;Liu;Inf. Sci.,2015

4. Predicting the helpfulness of online reviews using multilayer perceptron neural networks;Lee;Expert Syst. Appl.,2014

5. Analyzing market performance via social media: a case study of a banking industry crisis;Jiang;SCIENCE CHINA Inf. Sci.,2014

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