Open Access

ARTICLE

Swarming Behavior of Harris Hawks Optimizer for Arabic Opinion Mining

Diaa Salam Abd Elminaam^1,2,*, Nabil Neggaz³, Ibrahim Abdulatief Ahmed^4,5, Ahmed El Sawy Abouelyazed⁴

1 Department of Information Systems, Faculty of Computers and Artificial Intelligence, Benha University, 12311, Egypt
2 Department of Computer Science, Faculty of Computer Science, Misr International University, Egypt
3 Universite des Sciences at de la Technologie d'Oran Mohamed Boudiaf, USTO-MB, BP 1505, EL M'naouer, 31000 Oran, {Laboratoire Signal Image Parole (SIMPA), Department d'informatique, Faculte des Mathematiques et Informatique, Algerie}
4 Department of Computer Science, Faculty of Computers and Artificial Intelligence, Benha University, 12311, Egypt
5 Department of Computer Science, Obour High Institute for Computers and Informatics, Egypt

* Corresponding Author: Diaa Salam Abd Elminaam. Email:

Computers, Materials & Continua 2021, 69(3), 4129-4149. https://doi.org/10.32604/cmc.2021.019047

Received 31 March 2021; Accepted 05 May 2021; Issue published 24 August 2021

Abstract

At present, the immense development of social networks allows generating a significant amount of textual data, which has facilitated researchers to explore the field of opinion mining. In addition, the processing of textual opinions based on the term frequency-inverse document frequency method gives rise to a dimensionality problem. This study aims to detect the nature of opinions in the Arabic language employing a swarm intelligence (SI)-based algorithm, Harris hawks algorithm, to select the most relevant terms. The experimental study has been tested on two datasets: Arabic Jordanian General Tweets and Opinion Corpus for Arabic. In terms of accuracy and number of features, the results are better than those of other SI based algorithms, such as grey wolf optimizer and grasshopper optimization algorithm, and other algorithms in the literature, such as differential evolution, genetic algorithm, particle swarm optimization, basic and enhanced whale optimizer algorithm, slap swarm algorithm, and ant–lion optimizer.

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