A meta-heuristic algorithm for the minimal high-quality feature extraction of online reviews

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A meta-heuristic algorithm for the minimal high-quality feature extraction of online reviews

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...

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Bibliographic Details
Main Authors:	Mat Zin, Harnani, Mustapha, Norwati, Azmi Murad, Masrah Azrifah, Mohd Sharef, Nurfadhlina
Format:	Article
Published:	Universiti Utara Malaysia Press 2022
Online Access:	http://psasir.upm.edu.my/id/eprint/100181/

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