e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

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ABSTRACT

Title : STACKING ENSEMBLE MODEL FOR POLARITY CLASSIFICATION IN FEATURE BASED OPINION MINING
Authors : Padmapani P. Tribhuvan, Sunil G. Bhirud, Ratnadeep R.Deshmukh
Keywords : Stacking; Ensemble Learning; Opinion Mining; Sentiment Analysis; Naive Bayes; Support Vector Machine; K-Nearest Neighbor
Issue Date : Jun-Jul 2018
Abstract :
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.
Page(s) : 91-95
ISSN : 0976-5166
Source : Vol. 9, No.3
PDF : Download
DOI : 10.21817/indjcse/2018/v9i3/180903004