Sabrina Tiun
Biographic Data
| ID | 9413735 |
|---|---|
| NAME | Sabrina Tiun |
| GIVEN NAMES | Sabrina |
| FAMILY NAME | Tiun |
| SIGNATURE | TIUN S |
| AFFILIATIONS | National University of Malaysia |
| ORCID | 0000-0002-1134-973X |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
A Corpus-Assisted Discourse Analysis Case Study of Public Opinion on Climate Change in Malaysia
Climate change is a global emergency that necessitates urgent action from policymakers and the public. Public opinion plays a crucial role in shaping climate change policy, making it essential to understand how people perceive and respond to the issue. Studies on public opinion on climate change are emerging, but are lacking in examining linguistic aspects. The present study intends to conduct a linguistic analysis of public opinion news to ident…
Gray wolf optimization-extreme learning machine approach for diabetic retinopathy detection
Many works have employed Machine Learning (ML) techniques in the detection of Diabetic Retinopathy (DR), a disease that affects the human eye. However, the accuracy of most DR detection methods still need improvement. Gray Wolf Optimization-Extreme Learning Machine (GWO-ELM) is one of the most popular ML algorithms, and can be considered as an accurate algorithm in the process of classification, but has not been used in solving DR detection. Ther…
Media Report About Climate Change in an English Online Malaysian Newspaper Through Thematic and Discourse Analysis Approaches
Climate change studies are mainly focused on disaster management and inundated with scientific jargons that the public could not fathom. Thus, the dissemination of climate change discourse to the public has been less effective due to lack of information and understanding which explains the lack of public engagement and participation. Studies on climate change that consider linguistics aspects are beginning to emerge, but are still lacking. Theref…
Domain-specific Stop Words in Malaysian Parliamentary Debates 1959 – 2018
Removal of stop words is essential in Natural Language Processing and text-related analysis. Existing works on Malay stop words are based on standard Malay and Quranic/Arabic translations into Malay. Thus, there is a lack of domain-specific stop word list, making it discordant for processing of Malay parliamentary discourse. In this paper, we propose a semantic approach towards identifying and removing Malay, conventional Malay spelling and Engli…
Public Perceptions on Climate Change
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…
A Corpus Driven Analysis of Representations Around the Word ‘ekonomi’ in Malaysian Hansard Corpus
Politicians constantly talk about wealth, power and education, which is often justified on the grounds that it will aid economic growth, which in turn will raise living standard. Thus, many economic issues are seen through the eyes of political beliefs. This paper reports on a corpus-driven analysis around the word ekonomi (economy) in the Malaysian Hansard Corpus. The objectives are to analyse the trend concerning the word ekonomi and to find ou…
Part-of-Speech Tagger for Malay Social Media Texts
Processing the meaning of words in social media texts, such as tweets, is challenging in natural language processing. Malay tweets are no exception because they demonstrate distinct linguistic phenomena, such as the use of dialects from each state in Malaysia; borrowing foreign language terms in the context of Malay language; and using mixed languages, abbreviations and spelling errors or mistakes in sentence structure. Tagging the word class of …
Lexical Scoring System of Lexical Chain for Quranic Document Retrieval
An Information Retrieval (IR) system aims to extract information based on a query made by a user on a particular subject from an extensive collection of text. IR is a process through which information is retrieved by submitting a query by a user in the form of keywords or to match words. In the Al-Quran, verses of the same or comparable topics are scattered throughout the text in different chapters, and it is therefore difficult for users to reme…
No prominent works on this page.
Part-of-Speech Tagger for Malay Social Media Texts
Processing the meaning of words in social media texts, such as tweets, is challenging in natural language processing. Malay tweets are no exception because they demonstrate distinct linguistic phenomena, such as the use of dialects from each state in Malaysia; borrowing foreign language terms in the context of Malay language; and using mixed languages, abbreviations and spelling errors or mistakes in sentence structure. Tagging the word class of …
Lexical Scoring System of Lexical Chain for Quranic Document Retrieval
An Information Retrieval (IR) system aims to extract information based on a query made by a user on a particular subject from an extensive collection of text. IR is a process through which information is retrieved by submitting a query by a user in the form of keywords or to match words. In the Al-Quran, verses of the same or comparable topics are scattered throughout the text in different chapters, and it is therefore difficult for users to reme…
A Corpus Driven Analysis of Representations Around the Word ‘ekonomi’ in Malaysian Hansard Corpus
Politicians constantly talk about wealth, power and education, which is often justified on the grounds that it will aid economic growth, which in turn will raise living standard. Thus, many economic issues are seen through the eyes of political beliefs. This paper reports on a corpus-driven analysis around the word ekonomi (economy) in the Malaysian Hansard Corpus. The objectives are to analyse the trend concerning the word ekonomi and to find ou…
Domain-specific Stop Words in Malaysian Parliamentary Debates 1959 – 2018
Removal of stop words is essential in Natural Language Processing and text-related analysis. Existing works on Malay stop words are based on standard Malay and Quranic/Arabic translations into Malay. Thus, there is a lack of domain-specific stop word list, making it discordant for processing of Malay parliamentary discourse. In this paper, we propose a semantic approach towards identifying and removing Malay, conventional Malay spelling and Engli…
Public Perceptions on Climate Change
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…
Gray wolf optimization-extreme learning machine approach for diabetic retinopathy detection
Many works have employed Machine Learning (ML) techniques in the detection of Diabetic Retinopathy (DR), a disease that affects the human eye. However, the accuracy of most DR detection methods still need improvement. Gray Wolf Optimization-Extreme Learning Machine (GWO-ELM) is one of the most popular ML algorithms, and can be considered as an accurate algorithm in the process of classification, but has not been used in solving DR detection. Ther…
Media Report About Climate Change in an English Online Malaysian Newspaper Through Thematic and Discourse Analysis Approaches
Climate change studies are mainly focused on disaster management and inundated with scientific jargons that the public could not fathom. Thus, the dissemination of climate change discourse to the public has been less effective due to lack of information and understanding which explains the lack of public engagement and participation. Studies on climate change that consider linguistics aspects are beginning to emerge, but are still lacking. Theref…
A Corpus-Assisted Discourse Analysis Case Study of Public Opinion on Climate Change in Malaysia
Climate change is a global emergency that necessitates urgent action from policymakers and the public. Public opinion plays a crucial role in shaping climate change policy, making it essential to understand how people perceive and respond to the issue. Studies on public opinion on climate change are emerging, but are lacking in examining linguistic aspects. The present study intends to conduct a linguistic analysis of public opinion news to ident…
Computer Science (6 works) · Artificial Intelligence (5 works) · Linguistics (5 works) · Political science (5 works) · Climate change (3 works) · Law (3 works) · Natural language processing (3 works) · Politics (3 works) · Psychology (3 works) · Climate Change Communication and Perception (2 works)