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