Public perceptions on climate change : a sentiment analysis approach

Public perception on climate change is a paramount component that affects the implementation of adaptation and mitigation measures. Taking into account the public perceptions on the issue may assist decision-makers in producing appropriate strategies to ameliorate the impacts of climate change. A...

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Main Authors: Tasha Erina Taufek, Nor Fariza Mohd Nor, Azhar Jaludin, Sabrina Tiun, Lam, Kuok Choy
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:http://journalarticle.ukm.my/18530/1/51379-172418-2-PB.pdf
http://journalarticle.ukm.my/18530/
https://ejournal.ukm.my/gema/issue/view/1440
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Institution: Universiti Kebangsaan Malaysia
Language: English
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spelling my-ukm.journal.185302022-04-27T00:13:46Z http://journalarticle.ukm.my/18530/ Public perceptions on climate change : a sentiment analysis approach Tasha Erina Taufek, Nor Fariza Mohd Nor, Azhar Jaludin, Sabrina Tiun, Lam, Kuok Choy Public perception on climate change is a paramount component that affects the implementation of adaptation and mitigation measures. Taking into account the public perceptions on the issue may assist decision-makers in producing appropriate strategies to ameliorate the impacts of climate change. A corpus-driven sentiment analysis approach was done to classify the polarity of Malaysian public perceptions, identify the sentiment lexicon, and analyse the public sentiments. A part of a specialised corpus namely the Malaysian Diachronic Climate Change Corpus (MyDCCC) was developed from The Sun Daily and was used as the data for this study. The methodology involved the employment of Azure Machine Learning software to conduct sentiment analysis to explore the polarity of public sentiments, corpus analysis approach to identify the sentiment lexicon and discourse analysis to analyse public sentiments based on the identified sentiment lexicon. The results revealed that the majority of public sentiments appeared to be negative, depicting sentiment words such as long, critical, and serious. Positive sentiment words also prevailed such as better, best and hope. The discourse analysis revealed that the public is reasonably insightful of climate change although their sentiments appeared to be negative. However, the negative stance was largely influenced by the public's indignation with how decision-makers handle the climate change issue. Ironically, the negative sentiments may be an indication for the decision-makers to improve their approach in addressing climatechange. This study has contributed significantly to research on public perceptions of climate change in the Malaysian context. Penerbit Universiti Kebangsaan Malaysia 2021-11 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/18530/1/51379-172418-2-PB.pdf Tasha Erina Taufek, and Nor Fariza Mohd Nor, and Azhar Jaludin, and Sabrina Tiun, and Lam, Kuok Choy (2021) Public perceptions on climate change : a sentiment analysis approach. GEMA ; Online Journal of Language Studies, 21 (4). pp. 209-233. ISSN 1675-8021 https://ejournal.ukm.my/gema/issue/view/1440
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Public perception on climate change is a paramount component that affects the implementation of adaptation and mitigation measures. Taking into account the public perceptions on the issue may assist decision-makers in producing appropriate strategies to ameliorate the impacts of climate change. A corpus-driven sentiment analysis approach was done to classify the polarity of Malaysian public perceptions, identify the sentiment lexicon, and analyse the public sentiments. A part of a specialised corpus namely the Malaysian Diachronic Climate Change Corpus (MyDCCC) was developed from The Sun Daily and was used as the data for this study. The methodology involved the employment of Azure Machine Learning software to conduct sentiment analysis to explore the polarity of public sentiments, corpus analysis approach to identify the sentiment lexicon and discourse analysis to analyse public sentiments based on the identified sentiment lexicon. The results revealed that the majority of public sentiments appeared to be negative, depicting sentiment words such as long, critical, and serious. Positive sentiment words also prevailed such as better, best and hope. The discourse analysis revealed that the public is reasonably insightful of climate change although their sentiments appeared to be negative. However, the negative stance was largely influenced by the public's indignation with how decision-makers handle the climate change issue. Ironically, the negative sentiments may be an indication for the decision-makers to improve their approach in addressing climatechange. This study has contributed significantly to research on public perceptions of climate change in the Malaysian context.
format Article
author Tasha Erina Taufek,
Nor Fariza Mohd Nor,
Azhar Jaludin,
Sabrina Tiun,
Lam, Kuok Choy
spellingShingle Tasha Erina Taufek,
Nor Fariza Mohd Nor,
Azhar Jaludin,
Sabrina Tiun,
Lam, Kuok Choy
Public perceptions on climate change : a sentiment analysis approach
author_facet Tasha Erina Taufek,
Nor Fariza Mohd Nor,
Azhar Jaludin,
Sabrina Tiun,
Lam, Kuok Choy
author_sort Tasha Erina Taufek,
title Public perceptions on climate change : a sentiment analysis approach
title_short Public perceptions on climate change : a sentiment analysis approach
title_full Public perceptions on climate change : a sentiment analysis approach
title_fullStr Public perceptions on climate change : a sentiment analysis approach
title_full_unstemmed Public perceptions on climate change : a sentiment analysis approach
title_sort public perceptions on climate change : a sentiment analysis approach
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2021
url http://journalarticle.ukm.my/18530/1/51379-172418-2-PB.pdf
http://journalarticle.ukm.my/18530/
https://ejournal.ukm.my/gema/issue/view/1440
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