Analysing public sentiment towards government policies in Singapore using SenticNet

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...

Saved in:

書目詳細資料
主要作者:	Yap, Eugene
其他作者:	Erik Cambria
格式:	Final Year Project
語言:	English
出版:	Nanyang Technological University 2024
主題:	Computer and Information Science
在線閱讀:	https://hdl.handle.net/10356/175486
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

相似書籍

Building SenticNet 7
由: Perh, Zhi Hao
出版: (2021)

Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis
由: Poria, S., et al.
出版: (2014)

Detecting polarity and concepts in climate change tweets with senticNet
由: Kiran, Mac Milin
出版: (2022)

SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis
由: Cambria, E., et al.
出版: (2014)

Enriching SenticNet polarity scores through semi-supervised fuzzy clustering
由: Poria, S., et al.
出版: (2014)

OntoSenticNet : a commonsense ontology for sentiment analysis
由: Dragoni, Mauro, et al.
出版: (2020)

Sentic computing for social good: sentiment analysis on toxic comment
由: Wang Jingtan
出版: (2022)

Sentic API testing for polarity classification
由: Tay, Lu Kang
出版: (2025)

Sentic LSTM : a hybrid network for targeted aspect-based sentiment analysis
由: Ma, Yukun, et al.
出版: (2020)

Stock price prediction using sentic API
由: Phoa, Justyn Zairen
出版: (2024)

Sentic API for mental health detection
由: Yang, Willis Xianzu
出版: (2024)

SenticAPI testing for polarity classification and emotion recognition on Reddit comments regarding ChatGPT
由: Tan, Mazel Jia Ying
出版: (2024)

Sentic computing for HIV prevention and care
由: Low, Valerian Qin Ling
出版: (2022)

Sentic API: A common-sense based API for concept-level sentiment analysis
由: Cambria, Erik, et al.
出版: (2017)

WordNet and SUMO for sentimental analysis
由: Pease, Adam, et al.
出版: (2012)

Towards resource-aware dialogue systems and sentiment analysis
由: Pandelea, Vlad
出版: (2024)

Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics
由: Cambria, E., et al.
出版: (2014)

VistaNet: Visual Aspect Attention Network for multimodal sentiment analysis
由: TRUONG, Quoc Tuan, et al.
出版: (2019)

Sentiment analysis on student well-being in Singapore
由: Lim, Chien Hui
出版: (2024)

Clustering social networks using interaction semantics and sentics
由: Chandra, P., et al.
出版: (2014)

Sentic Album: Content-, Concept-, and Context-Based Online Personal Photo Management System
由: Cambria, E., et al.
出版: (2014)

Public sentiment is everything: Host-country public sentiment toward home country and acquisition ownership during institutional transition
由: YIU, Daphne W., et al.
出版: (2021)

Sentic maxine: Multimodal affective fusion and emotional paths
由: Hupont, I., et al.
出版: (2014)

Public sentiments towards the use of Wolbachia-Aedes technology in Singapore
由: Liew, Christina, et al.
出版: (2022)

Modelling public sentiment in Twitter
由: Chikersal, Prerna
出版: (2015)

Automated doubt identification from informal reflections through hybrid sentic patterns and machine learning approach
由: LO, Siaw Ling, et al.
出版: (2021)

Sentic PROMs: Application of sentic computing to the development of a novel unified framework for measuring health-care quality
由: Cambria, E., et al.
出版: (2014)

Unpacking public sentiment toward the government: How government communication strategies affect public engagement, cynicism, and word of mouth behavior in South Korea
由: Soojin KIM,, et al.
出版: (2016)

Financial sentiment analysis: techniques and applications
由: Du, Zidong
出版: (2025)

A multilingual semi-supervised approach in deriving Singlish sentic patterns for polarity detection
由: LO, Siaw Ling, et al.
出版: (2016)

Reddit sentiment analysis and topic modelling on POFMA
由: Ghazali, Aqil Akram
出版: (2024)

Is sarcasm detection capability beneficial for sentiment analysis?
由: Koh, Brian Jin Kiong
出版: (2024)

Unpacking Public Sentiment Toward the Government: How Citizens’ Perceptions of Government Communication Strategies Impact Public Engagement, Cynicism, and Communication Behaviors in South Korea
由: KIM, Soojin, et al.
出版: (2018)

Advancing sentiment understanding and safety in NLP systems
由: Deng, Yue
出版: (2025)

Towards generative aspect-based sentiment analysis
由: ZHANG, Wenxuan, et al.
出版: (2021)

On visualising and analysing Singapore resale public housing data
由: Nguyen, Keane Kim Hoang
出版: (2021)

Sentiment analysis on the web
由: Chit, Lin Su.
出版: (2013)

Sentic neural networks: A novel cognitive model for affective common sense reasoning
由: Mazzocco, T., et al.
出版: (2014)

GOVERNMENT POLICY AND DIFFUSION OF INFORMATION TECHNOLOGY USE IN THE PUBLIC SECTOR : A COMPARATIVE STUDY OF SINGAPORE AND HONG KONG
由: WOON YOON SIONG
出版: (2020)

NOSQL design for sentiment analysis
由: Ng, Aaron Shuo.
出版: (2012)