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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Sentiment Analysis on Amazon Product Reviews using the Recurrent Neural Network (RNN)
Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0130437
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 4, 2022.
Abstract: In this paper, the problem of sentiment analysis on Amazon products is tackled. In fact, sentiment analysis systems are applied in all business and social fields. This is because the opinions are at the center of all human activities, and they are key influencers of our behaviors. In this study, the recurrent neural network (RNN) model is used to classify the reviews. Three Amazon review datasets were applied to predict the sentiments of the authors. In conclusion, our results are comparable to the best state of the art models with an accuracy of 85%, 70% and 70% for three datasets.
Keywords: Sentiment analysis; natural language processing; deep learning; RNN
Roobaea Alroobaea, “Sentiment Analysis on Amazon Product Reviews using the Recurrent Neural Network (RNN)” International Journal of Advanced Computer Science and Applications(IJACSA), 13(4), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130437
@article{Alroobaea2022,
title = {Sentiment Analysis on Amazon Product Reviews using the Recurrent Neural Network (RNN)},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130437},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130437},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {4},
author = {Roobaea Alroobaea}
}
