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DOI: 10.14569/IJACSA.2024.0151276
PDF

A Novel Approach Based on Information Relevance Perspective and ANN for Predicting the Helpfulness of Online Reviews

Author 1: Nur Syadhila Bt Che Lah
Author 2: Khursiah Zainal-Mokhtar

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 12, 2024.

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Abstract: This study presents a novel approach to predicting the helpfulness of online reviews using Artificial Neural Networks (ANNs) focused on information relevance. As online reviews significantly influence consumer decision-making, it is critical to understand and identify reviews that provide the most value. This research identifies four key textual features namely content novelty, content specificity, content readability, and content reliability, that contribute to perceived helpfulness and incorporates them as primary inputs for the ANN model. Datasets of Amazon reviews are analyzed, and various preprocessing steps are employed to ensure data quality. Reviews are classified as helpful or unhelpful based on helpful vote thresholds, with experiments conducted across multiple helpful vote thresholds to determine the optimal threshold value. Performance was evaluated using accuracy, precision, recall, and F1 scores, with the best-performing classifier achieving 74.34% accuracy at a helpful vote threshold of 12 votes. These results highlight the potential of information relevance-based criteria to enhance the accuracy of online review helpfulness prediction models.

Keywords: Review helpfulness; online reviews; information relevance; review novelty; review readability; review specificity; Artificial Neural Networks

Nur Syadhila Bt Che Lah and Khursiah Zainal-Mokhtar, “A Novel Approach Based on Information Relevance Perspective and ANN for Predicting the Helpfulness of Online Reviews” International Journal of Advanced Computer Science and Applications(IJACSA), 15(12), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151276

@article{Lah2024,
title = {A Novel Approach Based on Information Relevance Perspective and ANN for Predicting the Helpfulness of Online Reviews},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151276},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151276},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {12},
author = {Nur Syadhila Bt Che Lah and Khursiah Zainal-Mokhtar}
}



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.

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