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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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Universiti Utara Malaysia Press
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/100181/ https://e-journal.uum.edu.my/index.php/jict/article/view/14428 |
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