期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2018
卷号：9
期号：3
页码：91-95
DOI：10.21817/indjcse/2018/v9i3/180903004
出版社：Engg Journals Publications
摘要：We proposed stacking ensemble model to solve the problem of feature-based opinion mining. We used Naive Bayes, Support Vector Machine and K-Nearest Neighbor as base learner and Support Vector Machine as Meta Classifier. Using domain knowledge the dataset consists of Feature-Opinion-Negation triple is created and trained using the proposed stacking ensemble model. The proposed model predicts feature based opinion polarity identification of 4096 laptop product reviews with 92.5315% accuracy.
