Opinion mining on book review using CNN-L2-SVM algorithm

M. F. Rozi, I. Mukhlash, Soetrisno, Masaomi Kimura

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Review of a product can represent quality of a product itself. An extraction to that review can be used to know sentiment of that opinion. Process to extract useful information of user review is called Opinion Mining. Review extraction model that is enhancing nowadays is Deep Learning model. This Model has been used by many researchers to obtain excellent performance on Natural Language Processing. In this research, one of deep learning model, Convolutional Neural Network (CNN) is used for feature extraction and L2 Support Vector Machine (SVM) as classifier. These methods are implemented to know the sentiment of book review data. The result of this method shows state-of-the art performance in 83.23% for training phase and 64.6% for testing phase.

Original languageEnglish
Article number012004
JournalJournal of Physics: Conference Series
Volume974
Issue number1
DOIs
Publication statusPublished - 2018 Mar 22
Event3rd International Conference on Mathematics: Pure, Applied and Computation, ICoMPAC 2017 - Surabaya, Indonesia
Duration: 2017 Nov 12017 Nov 1

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learning
natural language processing
products
classifiers
pattern recognition
education

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Opinion mining on book review using CNN-L2-SVM algorithm. / Rozi, M. F.; Mukhlash, I.; Soetrisno, ; Kimura, Masaomi.

In: Journal of Physics: Conference Series, Vol. 974, No. 1, 012004, 22.03.2018.

Research output: Contribution to journalConference article

Rozi, M. F. ; Mukhlash, I. ; Soetrisno, ; Kimura, Masaomi. / Opinion mining on book review using CNN-L2-SVM algorithm. In: Journal of Physics: Conference Series. 2018 ; Vol. 974, No. 1.
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