The stigma of autism in Malaysia: a sentiment analysis review based on Twitter data / Nur Adlin Safiah Rosli

Autism, often known as autism spectrum disorder (ASD) is a complex illness that includes communication and behavioural problems. Autism affects how they communicate, engage, behave and learn in ways that are different from other people. They may also have a distinct appearance from others. As a resu...

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Bibliographic Details
Main Author:	Rosli, Nur Adlin Safiah
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Electronic Computers Computer Science Online data processing Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/58943/1/58943.pdf
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id	my-uitm-ir.58943
record_format	uketd_dc
spelling	my-uitm-ir.589432022-08-19T08:51:26Z The stigma of autism in Malaysia: a sentiment analysis review based on Twitter data / Nur Adlin Safiah Rosli 2021 Rosli, Nur Adlin Safiah Electronic Computers. Computer Science Online data processing Algorithms Autism, often known as autism spectrum disorder (ASD) is a complex illness that includes communication and behavioural problems. Autism affects how they communicate, engage, behave and learn in ways that are different from other people. They may also have a distinct appearance from others. As a result, there is a stigma associated with this condition. The goal of this research is to analyse the societal stigma around autism by gathering and classifying tweets regarding autism in Malaysia from Twitter. Twitter is picked as the medium for data collection due to its popularity among public now. With polarity identification, tweets regarding autism can be categorised as positive, negative, or neutral. In this project, rule-based approach will be used. This method is chosen because of its ability to analyse text without the need for training or machine learning models. It also does not need a large amount of training data. The findings may be useful to the Ministry of Health Malaysia or the NGOs in understanding how the public views autism. 2021 Thesis https://ir.uitm.edu.my/id/eprint/58943/ https://ir.uitm.edu.my/id/eprint/58943/1/58943.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Azizan, Azilawati
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Azizan, Azilawati
topic	Electronic Computers Computer Science Online data processing Algorithms
spellingShingle	Electronic Computers Computer Science Online data processing Algorithms Rosli, Nur Adlin Safiah The stigma of autism in Malaysia: a sentiment analysis review based on Twitter data / Nur Adlin Safiah Rosli
description	Autism, often known as autism spectrum disorder (ASD) is a complex illness that includes communication and behavioural problems. Autism affects how they communicate, engage, behave and learn in ways that are different from other people. They may also have a distinct appearance from others. As a result, there is a stigma associated with this condition. The goal of this research is to analyse the societal stigma around autism by gathering and classifying tweets regarding autism in Malaysia from Twitter. Twitter is picked as the medium for data collection due to its popularity among public now. With polarity identification, tweets regarding autism can be categorised as positive, negative, or neutral. In this project, rule-based approach will be used. This method is chosen because of its ability to analyse text without the need for training or machine learning models. It also does not need a large amount of training data. The findings may be useful to the Ministry of Health Malaysia or the NGOs in understanding how the public views autism.
format	Thesis
qualification_level	Bachelor degree
author	Rosli, Nur Adlin Safiah
author_facet	Rosli, Nur Adlin Safiah
author_sort	Rosli, Nur Adlin Safiah
title	The stigma of autism in Malaysia: a sentiment analysis review based on Twitter data / Nur Adlin Safiah Rosli
title_short	The stigma of autism in Malaysia: a sentiment analysis review based on Twitter data / Nur Adlin Safiah Rosli
title_full	The stigma of autism in Malaysia: a sentiment analysis review based on Twitter data / Nur Adlin Safiah Rosli
title_fullStr	The stigma of autism in Malaysia: a sentiment analysis review based on Twitter data / Nur Adlin Safiah Rosli
title_full_unstemmed	The stigma of autism in Malaysia: a sentiment analysis review based on Twitter data / Nur Adlin Safiah Rosli
title_sort	stigma of autism in malaysia: a sentiment analysis review based on twitter data / nur adlin safiah rosli
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/58943/1/58943.pdf
_version_	1783735007622201344

The stigma of autism in Malaysia: a sentiment analysis review based on Twitter data / Nur Adlin Safiah Rosli

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