A Meta-heuristic Algorithm for the Minimal High-Quality Feature Extraction of Online Reviews

• المؤلفون الرئيسيون: Mat Zin, Harnani, Mustapha, Norwati, Azmi Murad, Masrah Azrifah, Mohd Sharef, Nurfadhlina
• التنسيق: مقال
• اللغة: English
• منشور في: Universiti Utara Malaysia Press 2022
• الموضوعات: QA75 Electronic computers. Computer science
• الوصول للمادة أونلاين: https://repo.uum.edu.my/id/eprint/29111/1/JICT%2021%2004%202022%20571-593.pdf; https://doi.org/10.32890/jict2022.21.4.5; https://repo.uum.edu.my/id/eprint/29111/; https://e-journal.uum.edu.my/index.php/jict/article/view/14428; https://doi.org/10.32890/jict2022.21.4.5
• المؤسسة: Universiti Utara Malaysia

Feature extraction and selection are critical in sentiment analysis (SA) to extract and select only the appropriate features by removing those deemed redundant. As such, the successful implementation of this process leads to better classification accuracy. Inevitably, selecting high-quality minimal...