Abstract
Recently, more young people are suffering from mental illness especially stress and depression during the COVID-19 pandemic. The different between how bad the mental health condition depends on the ways each individual handle and overcome it. Besides, factor that leads stress and depression also plays an important roles in order to know the level of the stress and depression. A person's age and background are also among the factors that cause stress and depression. For instance, stress and depression of students mostly happen because of their study especially during COVID-19 pandemic where schools and universities are closed, and online learning need to be implemented. This study analyses on the number of students that were affected from the COVID-19 pandemic during online distance learning. Two keywords “stress and depression” were used to extract the data from the Twitter. Sentiment analysis has been conducted in the analysis process and Naïve Bayes classifier was applied to classify the data into the predefined categories. 571 out of 2291 students experienced depression, 872 experienced high levels of stress and 848 were diagnosed with early-stage stress. The obtained results are visualized using polar area diagram to ease the readers’ understanding.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Samsari, Nur Syafirah Izzati 2018659762@student.uitm.edu.my Mohamad, Masurah masur480@uitm.edu.my Selamat, Ali aselamat@utm.my |
Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > Analysis Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems |
Divisions: | Universiti Teknologi MARA, Perak > Tapah Campus > Faculty of Computer and Mathematical Sciences |
Journal or Publication Title: | Mathematical Sciences and Informatics Journal (MIJ) |
UiTM Journal Collections: | UiTM Journal > Mathematical Science and Information Journal (MIJ) |
ISSN: | 2735-0703 |
Volume: | 3 |
Number: | 1 |
Page Range: | pp. 66-74 |
Keywords: | Stress; Depression; Online Distance Learning; Sentiment Analysis; Naïve Bayes; Data Visualization |
Date: | May 2022 |
URI: | https://ir.uitm.edu.my/id/eprint/61725 |