2023
DOI: 10.1016/j.jksuci.2023.101691
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Ensemble Stacking Model for Sentiment Analysis of Emirati and Arabic Dialects

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Cited by 7 publications
(1 citation statement)
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“…We then utilize this dataset to train a state-of-the-art deep learning model known as BERT (Bidirectional Encoder Representations from Transformer) [6]. BERT is a type of Transformer model [7] that has recently demonstrated exceptional efficiency and accuracy in the field of Arabic sentiment analysis, highlighting its significance and influence [8][9][10][11][12][13]. Our goal is to use this model to infer sentiment from any Algerian text, providing a valuable tool for understanding the opinions and emotions of the population.…”
Section: Introductionmentioning
confidence: 99%
“…We then utilize this dataset to train a state-of-the-art deep learning model known as BERT (Bidirectional Encoder Representations from Transformer) [6]. BERT is a type of Transformer model [7] that has recently demonstrated exceptional efficiency and accuracy in the field of Arabic sentiment analysis, highlighting its significance and influence [8][9][10][11][12][13]. Our goal is to use this model to infer sentiment from any Algerian text, providing a valuable tool for understanding the opinions and emotions of the population.…”
Section: Introductionmentioning
confidence: 99%