STACKING ENSEMBLE MODEL FOR POLARITY CLASSIFICATION IN FEATURE BASED OPINION MINING
Padmapani P. Tribhuvan, Sunil G. Bhirud, Ratnadeep R. Deshmukh · Indian Journal of Computer Science and Engineering · 2018
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.