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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2024
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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 |
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Universiti Teknologi MARA |
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UiTM Institutional Repository |
language |
English |
advisor |
Mohd Bahrin, Ummu Fatihah |
topic |
Bayesian statistics |
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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 |