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

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

研究成果: Conference article

2 引用 (Scopus)

抜粋

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.

元の言語English
記事番号012004
ジャーナルJournal of Physics: Conference Series
974
発行部数1
DOI
出版物ステータスPublished - 2018 3 22
イベント3rd International Conference on Mathematics: Pure, Applied and Computation, ICoMPAC 2017 - Surabaya, Indonesia
継続期間: 2017 11 12017 11 1

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ASJC Scopus subject areas

  • Physics and Astronomy(all)

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