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... The aim of this sentiment classification is to assign the Covid-19 tweets automatically into predetermined categories (positive and negative) using the Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS has been selected since it has provided good results in most previous research studies (Saif et al. 2021;Behnood et al. 2020;Ukaoha et al. 2020;Karaboga & Kaya, 2019). َ◌ Likewise, ANFIS plays a major role in prediction, modeling, and inference. ...
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... Today, technology has a great influence on the world. It has helped in the prediction and detection of severe diseases as lung cancer [1,2] and the diagnosis of Corona virus disease 2019 (COVID-19) [3]. It has also helped in connecting the world through smartphones that have played a vital role in our daily life. ...
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... Computational intelligence techniques have been heavily involved in numerous applications related to various research fields such as face recognition through deep learning [2], Image retrieval through knowledge-based techniques [3]. Additionally, there are applications of AI in the field of medical research [4] and even in Covid-19 related research [5]. Computer music composition is a rather novel field of research. ...
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... For example, Santoso et al. [41] used this method for the detection of pneumonia and pulmonary tuberculosis. To undertake diagnosis of COVID-19, Ukaoha et al. [42] employed ANFIS and reached an accuracy of 96.6%. A different novel solution for COVID-19 diagnosis in CT scans was proposed by Akram et al. [43]. ...
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