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

研究成果: Article査読

2 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)437-441
ページ数5
ジャーナルInternational Journal of Machine Learning and Computing
8
5
DOI
出版ステータスPublished - 2018 10 1

ASJC Scopus subject areas

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

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