A sentiment analysis of public perception on Malaysia general election using Naive Bayes / Nur Hidayah Athira Sahrul Afendi

Twitter has been prominently used during the electoral campaigns. Twitter helps the politicians to spread and share their political agenda. Through Twitter, every information is accessible to anyone and anybody around the world in keeping up with the information and opinion about the general electio...

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Bibliographic Details
Main Author:	Sahrul Afendi, Nur Hidayah Athira
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Bayesian statistics
Online Access:	https://ir.uitm.edu.my/id/eprint/96443/1/96443.pdf
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id	my-uitm-ir.96443
record_format	uketd_dc
spelling	my-uitm-ir.964432024-06-05T23:35:28Z A sentiment analysis of public perception on Malaysia general election using Naive Bayes / Nur Hidayah Athira Sahrul Afendi 2024 Sahrul Afendi, Nur Hidayah Athira Bayesian statistics Twitter has been prominently used during the electoral campaigns. Twitter helps the politicians to spread and share their political agenda. Through Twitter, every information is accessible to anyone and anybody around the world in keeping up with the information and opinion about the general election that happening in Malaysia. This study aims to analyze the public perception on Malaysia general election via Twitter. This study employed a Naive Bayes Classification to get the data whether it is positive, or negative. Specifically, Naive Bayes used for sentiment analysis for the English tweets. Top trending hashtags were used to fetch tweets resulting in 11816 tweets. The method used by using Apify to collect the data and save it into CSV file. 2024 Thesis https://ir.uitm.edu.my/id/eprint/96443/ https://ir.uitm.edu.my/id/eprint/96443/1/96443.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Mohd Bahrin, Ummu Fatihah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohd Bahrin, Ummu Fatihah
topic	Bayesian statistics
spellingShingle	Bayesian statistics Sahrul Afendi, Nur Hidayah Athira A sentiment analysis of public perception on Malaysia general election using Naive Bayes / Nur Hidayah Athira Sahrul Afendi
description	Twitter has been prominently used during the electoral campaigns. Twitter helps the politicians to spread and share their political agenda. Through Twitter, every information is accessible to anyone and anybody around the world in keeping up with the information and opinion about the general election that happening in Malaysia. This study aims to analyze the public perception on Malaysia general election via Twitter. This study employed a Naive Bayes Classification to get the data whether it is positive, or negative. Specifically, Naive Bayes used for sentiment analysis for the English tweets. Top trending hashtags were used to fetch tweets resulting in 11816 tweets. The method used by using Apify to collect the data and save it into CSV file.
format	Thesis
qualification_level	Bachelor degree
author	Sahrul Afendi, Nur Hidayah Athira
author_facet	Sahrul Afendi, Nur Hidayah Athira
author_sort	Sahrul Afendi, Nur Hidayah Athira
title	A sentiment analysis of public perception on Malaysia general election using Naive Bayes / Nur Hidayah Athira Sahrul Afendi
title_short	A sentiment analysis of public perception on Malaysia general election using Naive Bayes / Nur Hidayah Athira Sahrul Afendi
title_full	A sentiment analysis of public perception on Malaysia general election using Naive Bayes / Nur Hidayah Athira Sahrul Afendi
title_fullStr	A sentiment analysis of public perception on Malaysia general election using Naive Bayes / Nur Hidayah Athira Sahrul Afendi
title_full_unstemmed	A sentiment analysis of public perception on Malaysia general election using Naive Bayes / Nur Hidayah Athira Sahrul Afendi
title_sort	sentiment analysis of public perception on malaysia general election using naive bayes / nur hidayah athira sahrul afendi
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2024
url	https://ir.uitm.edu.my/id/eprint/96443/1/96443.pdf
_version_	1804889988749328384

A sentiment analysis of public perception on Malaysia general election using Naive Bayes / Nur Hidayah Athira Sahrul Afendi

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