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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      05 July-September 2023, Volume 38 Issue 4
    Article

    SENTIMENT ANALYSIS OF ONLINE EDUCATIONAL PLATFORMS AMONG USERS IN SAUDI ARABIA
    Hawazin Z. Albalawi1*, Aisha Y. Alsobhi2
    Journal of Data Acquisition and Processing, 2023, 38 (4): 1678-1690 . 

    Abstract

    Abstract: In this era, the great development in technology and communication media transformed the whole world into a small village. The education sector was one of the most important sectors that were highly affected by the digital revolution, especially in E-learning. Online educational platforms are considered one of the most recent fields that are helping generate a great amount of data. E-learning means the use of electronic tools and techniques for learning new information and skills. The demand increase in using digital media has had a significant impact since the COVID-19 pandemic. Online educational platforms were an effective solution as a sole alternative for students’ inability to continue their educational achievement. Although it is an ideal solution in the pandemic crisis to adopt distance learning technology, many students have faced problems and challenges in the E-learning system. These problems are related to the technical difficulty students have in dealing with this type of education, especially in pre-university education, and even the teachers themselves did not possess the qualifications to deal with this sudden change in the method of learning. This study aims to provide a sentiment analysis based on user preferences. This research presents an exploration of a researched area within a specific geographical and cultural context. In this paper, we focus on the platforms for educational purposes. This study provides context-specific insights that can guide the development of online learning platforms, and shape educational outlines. The findings can potentially enhance user engagement and learning outcomes, promoting better quality of education in the digital century.

    Keyword

    Sentiment Analysis, Online educational platforms, Pre-university, culture-context.


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