Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
12-2019
Abstract
This study presents a social analytics approach to the study of public toilet cleanliness in Singapore. From popular social media platforms, our system automatically gathers and analyzes relevant public posts that mention about toilet cleanliness in highly frequented locations across the Singapore island - from busy shopping malls to food 'hawker' centers.
Keywords
Sentiment analysis, toilets, social media, analytics, Singapore
Discipline
Asian Studies | Databases and Information Systems | Numerical Analysis and Scientific Computing | Social Media
Research Areas
Data Science and Engineering
Publication
2019 IEEE International Conference on Big Data, Los Angeles, CA, December 9-12: Proceedings
First Page
6024
Last Page
6026
ISBN
9781728108582
Identifier
10.1109/BigData47090.2019.9006125
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
Embargo Period
10-8-2023
Citation
CHOY, Eugene W. J.; HO, Winston M. K.; LI, Xiaohang; VERMA, Ragini; SIM, Li Jin; and SHIM, Kyong Jin.
Happy toilet: A social analytics approach to the study of public toilet cleanliness. (2019). 2019 IEEE International Conference on Big Data, Los Angeles, CA, December 9-12: Proceedings. 6024-6026.
Available at: https://ink.library.smu.edu.sg/sis_research/8207
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/BigData47090.2019.9006125
Included in
Asian Studies Commons, Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons, Social Media Commons