Sentiment analysis on student well-being in Singapore

The issue of well-being among students, particularly at the university level, has become increasingly important in recent years due to the growing awareness of mental health concerns among students. This project aims to analyze the sentiments and well-being of university students in Singapore by uti...

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Main Author: Lim, Chien Hui
Other Authors: Erik Cambria
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175354
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1753542024-04-26T15:43:21Z Sentiment analysis on student well-being in Singapore Lim, Chien Hui Erik Cambria School of Computer Science and Engineering cambria@ntu.edu.sg Computer and Information Science The issue of well-being among students, particularly at the university level, has become increasingly important in recent years due to the growing awareness of mental health concerns among students. This project aims to analyze the sentiments and well-being of university students in Singapore by utilizing sentiment analysis tools and models on social media text. By examining general trends in sentiments, schools can identify areas that require attention and develop targeted solutions to address specific factors that contribute to poor well-being among students. Various sentiment analysis models were applied, including VADER, RoBERTa, and SenticNet, to classify polarity, while BART and SenticNet were used to classify well-being. The results indicated that RoBERTa had the highest accuracy rate of 77% for detecting polarity, while BART had the highest accuracy rate of 73% for detecting well-being. Bachelor's degree 2024-04-22T06:21:48Z 2024-04-22T06:21:48Z 2024 Final Year Project (FYP) Lim, C. H. (2024). Sentiment analysis on student well-being in Singapore. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175354 https://hdl.handle.net/10356/175354 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
spellingShingle Computer and Information Science
Lim, Chien Hui
Sentiment analysis on student well-being in Singapore
description The issue of well-being among students, particularly at the university level, has become increasingly important in recent years due to the growing awareness of mental health concerns among students. This project aims to analyze the sentiments and well-being of university students in Singapore by utilizing sentiment analysis tools and models on social media text. By examining general trends in sentiments, schools can identify areas that require attention and develop targeted solutions to address specific factors that contribute to poor well-being among students. Various sentiment analysis models were applied, including VADER, RoBERTa, and SenticNet, to classify polarity, while BART and SenticNet were used to classify well-being. The results indicated that RoBERTa had the highest accuracy rate of 77% for detecting polarity, while BART had the highest accuracy rate of 73% for detecting well-being.
author2 Erik Cambria
author_facet Erik Cambria
Lim, Chien Hui
format Final Year Project
author Lim, Chien Hui
author_sort Lim, Chien Hui
title Sentiment analysis on student well-being in Singapore
title_short Sentiment analysis on student well-being in Singapore
title_full Sentiment analysis on student well-being in Singapore
title_fullStr Sentiment analysis on student well-being in Singapore
title_full_unstemmed Sentiment analysis on student well-being in Singapore
title_sort sentiment analysis on student well-being in singapore
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175354
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