Analysing public sentiment towards government policies in Singapore using SenticNet
This study uses SenticNet to analyse Reddit Singapore comments for sentiment analysis. The objective is to understand how the public feels about certain policies the Singapore government has proposed or implemented. The study reviews the mechanisms of SenticNet and the connection between sentiment a...
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Nanyang Technological University
2024
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sg-ntu-dr.10356-1754862024-04-26T15:45:23Z Analysing public sentiment towards government policies in Singapore using SenticNet Yap, Eugene Erik Cambria School of Computer Science and Engineering cambria@ntu.edu.sg Computer and Information Science This study uses SenticNet to analyse Reddit Singapore comments for sentiment analysis. The objective is to understand how the public feels about certain policies the Singapore government has proposed or implemented. The study reviews the mechanisms of SenticNet and the connection between sentiment analysis and policymaking. After visualising the data obtained from Sentic APIs, error analysis is performed on the misclassifications. In conclusion, most comments are critical of policies from both sides, indicating that people are more likely to think critically about policies than to accept them at face value. Bachelor's degree 2024-04-25T01:07:54Z 2024-04-25T01:07:54Z 2024 Final Year Project (FYP) Yap, E. (2024). Analysing public sentiment towards government policies in Singapore using SenticNet. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175486 https://hdl.handle.net/10356/175486 en application/pdf Nanyang Technological University |
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Computer and Information Science Yap, Eugene Analysing public sentiment towards government policies in Singapore using SenticNet |
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This study uses SenticNet to analyse Reddit Singapore comments for sentiment analysis. The objective is to understand how the public feels about certain policies the Singapore government has proposed or implemented. The study reviews the mechanisms of SenticNet and the connection between sentiment analysis and policymaking. After visualising the data obtained from Sentic APIs, error analysis is performed on the misclassifications. In conclusion, most comments are critical of policies from both sides, indicating that people are more likely to think critically about policies than to accept them at face value. |
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Erik Cambria |
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Erik Cambria Yap, Eugene |
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Final Year Project |
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Yap, Eugene |
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Yap, Eugene |
title |
Analysing public sentiment towards government policies in Singapore using SenticNet |
title_short |
Analysing public sentiment towards government policies in Singapore using SenticNet |
title_full |
Analysing public sentiment towards government policies in Singapore using SenticNet |
title_fullStr |
Analysing public sentiment towards government policies in Singapore using SenticNet |
title_full_unstemmed |
Analysing public sentiment towards government policies in Singapore using SenticNet |
title_sort |
analysing public sentiment towards government policies in singapore using senticnet |
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Nanyang Technological University |
publishDate |
2024 |
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https://hdl.handle.net/10356/175486 |
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1800916262233047040 |