COVID-19 Impact Sentiment Analysis on a Topic-based Level

Authors

  • Mustapha Hankar LAROSERI Laboratory, Computer Science Department, University of Chouaib Doukkali, Faculty of Sciences, El Jadida, Morocco
  • Marouane Birjali LAROSERI Laboratory, Computer Science Department, University of Chouaib Doukkali, Faculty of Sciences, El Jadida, Morocco
  • Anas El-Ansari MASI Laboratory, Computer Science Department, FPN, Mohammed First University, Nador, Morocco
  • Abderrahim Beni-Hssane LAROSERI Laboratory, Computer Science Department, University of Chouaib Doukkali, Faculty of Sciences, El Jadida, Morocco

DOI:

https://doi.org/10.13052/jicts2245-800X.1027

Keywords:

COVID-19, sentiment analysis, topic modeling, Arabic, CaMeL, Hespress, feedback, quarantine, selenium, LDA

Abstract

Last December 2019, health officials in Wuhan, a province from China, identified a novel coronavirus called SARS-CoV-2 causing pneumonia. In March 2020, World Health Organization (WHO) declared COVID-19 disease being a pandemic. During quarantine periods, people all over the globe were living under severe and overwhelming circumstances and expressing feelings of loneliness, dread, and anxiety. The pandemic has had a significant impact on the labor markets. As a result, several employees have lost their jobs while others are in grave danger to lose their positions the next day. In this paper, we developed a hybrid approach integrating sentiment analysis combined with topic modeling to analyze the impact of the COVID-19 pandemic on Moroccan citizens. The data used in this study includes comments collected from a well-known news website in Morocco called Hespress. Our approach follows a two-step process. In the first step, we implement a topic modeling method to analyze and extract topics from Arabic comments, and in the second step, we perform topic-based sentiment analysis to classify people’s feedback on extracted topics. The final results revealed that the expressed sentiments regarding all the topics are highly negative.

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Author Biographies

Mustapha Hankar, LAROSERI Laboratory, Computer Science Department, University of Chouaib Doukkali, Faculty of Sciences, El Jadida, Morocco

Mustapha Hankar is a PhD student researcher at the department of computer science, Faculty of Science, University of Chouaib Doukkali, El Jadida, Morocco since 2019. His research areas include NLP and its applications, machine learning and deep learning. He contributed in the proceedings of the international conferences.

Marouane Birjali, LAROSERI Laboratory, Computer Science Department, University of Chouaib Doukkali, Faculty of Sciences, El Jadida, Morocco

Marouane Birjali received his Ph.D in computer science from the Faculty of Sciences, Chouaïb Doukkali University, El Jadida since 2019. Currently, he is a Researcher in the same faculty and working as an IT engineer. His research interests include Big Data, IA and Sentiment Analysis is a researcher in the field of NLP and Big Data and AI. He contributed to many national and international conferences, and published many papers in several international journals in his research area.

Anas El-Ansari, MASI Laboratory, Computer Science Department, FPN, Mohammed First University, Nador, Morocco

Anas El-Ansari received his PhD. degree in computer science from the Faculty of Sciences, Chouaïb Doukkali University, El Jadida. Currently, he is a Researcher and a Professor in the Polydisciplinary Faculty of Nador, Mohamed First University, Morocco. His research interests include Recommender systems, Cryptography, Privacy, Sentiment Analysis and Semantic Web. He contributed and published papers in many national, international conferences and journals.

Abderrahim Beni-Hssane, LAROSERI Laboratory, Computer Science Department, University of Chouaib Doukkali, Faculty of Sciences, El Jadida, Morocco

Abderrahim Beni-Hssane is a researcher and professor of Computer Science in the Faculty of sciences at the university of Chouaib Doukkali, El Jadida, Morocco. He received his Ph.D degree in computer science from Mohamed V University, Rabat, Morocco, in 1997. His research interests include performance evaluation in wireless networks, cryptography, cloud computing, big data, machine learning, and NLP. He contributed and published papers in many national, international conferences and journals.

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Published

2022-05-07

Issue

Section

Intelligent Systems for Smart Applications