Opinion mining on book review using convolutional neural network algorithm - Long short term memory

Imam Mukhlash, Anshar Zamrudillah Arham, Fakhrur Rozi, Masaomi Kimura, Dieky Adzkiya

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The quality of a product can be determined by consumer reviews of the product because consumer opinion is in general honest and sentimental to the product. The process of opinion extraction is called opinion mining. This process is done to determine the tendency of the reviewer to the reviewed object. Deep Learning is a recently developed opinion extraction model. This model is widely used for achieving performance in Natural Language Processing. This work classifies the book review on Amazon.com into positive reviews or negative reviews using a combination of Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) algorithms. Simulation results show that the performance of this algorithm is approximately 65.03% for testing data and 99.55% for training data.

Original languageEnglish
Pages (from-to)437-441
Number of pages5
JournalInternational Journal of Machine Learning and Computing
Volume8
Issue number5
DOIs
Publication statusPublished - 2018 Oct 1

Keywords

  • Book review
  • Deep learning
  • Long short term memory
  • Opinion mining

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

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