Revue de l'Information Scientifique et Technique
Volume 27, Numéro 2, Pages 56-61
2023-11-08

Arabic Sentiment Analysis Within Covid-19.



Authors : Arbaoui Slimane . Belfedhal Alaa Eddine .

Abstract

In this paper we give a brief study that allow us to analyse some Arabic tweets posted in the Covid-19 period and classify them into “Positive, Negative and Neutral”. We worked on a dataset that consist of 4800 tuples on which we applied three different approaches “Naive Bayes, Neuron network and Stochastic gradient descent (SGD)” where the last algorithm gave the best result with an accuracy of 91%.

Keywords

Covid-19 ; Arabic sentiment ; Classification ; Text analysis ; Naive Bayes ; Stochastic gradient descent (SGD) ; Neuron network

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