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Research Article | Open Access |

Sentiment Analysis on Amazon Product Reviews using the Recurrent Neural Network (RNN)

Author 1: Roobaea Alroobaea
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 13, No. 4 · Published 2022 · Cited by 25

DOI: https://doi.org/10.14569/IJACSA.2022.0130437

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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

How to Cite this Article

Alroobaea, R. (2022). Sentiment Analysis on Amazon Product Reviews using the Recurrent Neural Network (RNN). International Journal of Advanced Computer Science and Applications, 13(4). https://doi.org/10.14569/IJACSA.2022.0130437

Alroobaea, Roobaea. "Sentiment Analysis on Amazon Product Reviews using the Recurrent Neural Network (RNN)." International Journal of Advanced Computer Science and Applications, vol. 13, no. 4, 2022, https://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},
  volume    = {13},
  number    = {4},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Roobaea Alroobaea},
  doi       = {10.14569/IJACSA.2022.0130437},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130437}
}

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