Zahidi, Y., El Younoussi, Y., & Al-Amrani, Y. (2021). A powerful comparison of deep learning frameworks for Arabic sentiment analysis. International Journal of Electrical & Computer Engineering (2088-8708), 11(1), 745-752. https://doi.org/10.11591 jece.v11 i1.pp745-752
ISO-690 (author-date, English)ZAHIDI, Youssra, EL YOUNOUSSI, Yacine und AL-AMRANI, Yassine, 2021. A powerful comparison of deep learning frameworks for Arabic sentiment analysis. International Journal of Electrical & Computer Engineering (2088-8708). 1 Februar 2021. Vol. 11, no. 1, p. 745-752. DOI 10.11591 jece.v11 i1.pp745-752.
Modern Language Association 9th editionZahidi, Y., Y. El Younoussi, und Y. Al-Amrani. „A Powerful Comparison of Deep Learning Frameworks for Arabic Sentiment Analysis.“. International Journal of Electrical & Computer Engineering (2088-8708), Bd. 11, Nr. 1, Februar 2021, S. 745-52, https://doi.org/10.11591 jece.v11 i1.pp745-752.
Mohr Siebeck - Recht (Deutsch - Österreich)Zahidi, Youssra/El Younoussi, Yacine/Al-Amrani, Yassine: A powerful comparison of deep learning frameworks for Arabic sentiment analysis., International Journal of Electrical & Computer Engineering (2088-8708) 2021, 745-752.
Emerald - HarvardZahidi, Y., El Younoussi, Y. und Al-Amrani, Y. (2021), „A powerful comparison of deep learning frameworks for Arabic sentiment analysis.“, International Journal of Electrical & Computer Engineering (2088-8708), Vol. 11 No. 1, S. 745-752.