Sentiment analysis on students stress and depression due to Online Distance Learning during the COVID-19 pandemic / Nur Syafirah Izzati Samsari, Masurah Mohamad and Ali Selamat
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 pla...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Universiti Teknologi MARA, Perak
2022
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/61725/1/61725.pdf https://ir.uitm.edu.my/id/eprint/61725/ https://mijuitm.com.my/view-articles/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uitm.ir.61725 |
---|---|
record_format |
eprints |
spelling |
my.uitm.ir.617252023-06-22T03:10:20Z https://ir.uitm.edu.my/id/eprint/61725/ Sentiment analysis on students stress and depression due to Online Distance Learning during the COVID-19 pandemic / Nur Syafirah Izzati Samsari, Masurah Mohamad and Ali Selamat msij Samsari, Nur Syafirah Izzati Mohamad, Masurah Selamat, Ali QA Mathematics Analysis Analytical methods used in the solution of physical problems 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. Universiti Teknologi MARA, Perak 2022-05 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/61725/1/61725.pdf Sentiment analysis on students stress and depression due to Online Distance Learning during the COVID-19 pandemic / Nur Syafirah Izzati Samsari, Masurah Mohamad and Ali Selamat. (2022) Mathematical Sciences and Informatics Journal (MIJ) <https://ir.uitm.edu.my/view/publication/Mathematical_Sciences_and_Informatics_Journal_=28MIJ=29.html>, 3 (1). pp. 66-74. ISSN 2735-0703 https://mijuitm.com.my/view-articles/ 10.24191/mij.v2i2.18273 10.24191/mij.v2i2.18273 10.24191/mij.v2i2.18273 |
institution |
Universiti Teknologi Mara |
building |
Tun Abdul Razak Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Mara |
content_source |
UiTM Institutional Repository |
url_provider |
http://ir.uitm.edu.my/ |
language |
English |
topic |
QA Mathematics Analysis Analytical methods used in the solution of physical problems |
spellingShingle |
QA Mathematics Analysis Analytical methods used in the solution of physical problems Samsari, Nur Syafirah Izzati Mohamad, Masurah Selamat, Ali Sentiment analysis on students stress and depression due to Online Distance Learning during the COVID-19 pandemic / Nur Syafirah Izzati Samsari, Masurah Mohamad and Ali Selamat |
description |
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. |
format |
Article |
author |
Samsari, Nur Syafirah Izzati Mohamad, Masurah Selamat, Ali |
author_facet |
Samsari, Nur Syafirah Izzati Mohamad, Masurah Selamat, Ali |
author_sort |
Samsari, Nur Syafirah Izzati |
title |
Sentiment analysis on students stress and depression due to Online Distance Learning during the COVID-19 pandemic / Nur Syafirah Izzati Samsari, Masurah Mohamad and Ali Selamat |
title_short |
Sentiment analysis on students stress and depression due to Online Distance Learning during the COVID-19 pandemic / Nur Syafirah Izzati Samsari, Masurah Mohamad and Ali Selamat |
title_full |
Sentiment analysis on students stress and depression due to Online Distance Learning during the COVID-19 pandemic / Nur Syafirah Izzati Samsari, Masurah Mohamad and Ali Selamat |
title_fullStr |
Sentiment analysis on students stress and depression due to Online Distance Learning during the COVID-19 pandemic / Nur Syafirah Izzati Samsari, Masurah Mohamad and Ali Selamat |
title_full_unstemmed |
Sentiment analysis on students stress and depression due to Online Distance Learning during the COVID-19 pandemic / Nur Syafirah Izzati Samsari, Masurah Mohamad and Ali Selamat |
title_sort |
sentiment analysis on students stress and depression due to online distance learning during the covid-19 pandemic / nur syafirah izzati samsari, masurah mohamad and ali selamat |
publisher |
Universiti Teknologi MARA, Perak |
publishDate |
2022 |
url |
https://ir.uitm.edu.my/id/eprint/61725/1/61725.pdf https://ir.uitm.edu.my/id/eprint/61725/ https://mijuitm.com.my/view-articles/ |
_version_ |
1769846468568416256 |
score |
13.160551 |