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. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/BigData47090.2019.9006125 | 2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) |
Keywords | Field | DocType |
sentiment analysis, toilets, social media, analytics | Internet privacy,Social media,Sentiment analysis,Computer science,Public toilet,Toilet,Artificial intelligence,Analytics,Social analytics,Machine learning | Conference |
ISSN | Citations | PageRank |
2639-1589 | 0 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eugene W. J. Choy | 1 | 0 | 0.68 |
Winston M. K. Ho | 2 | 0 | 0.34 |
Xiaohang Li | 3 | 0 | 0.68 |
Ragini Verma | 4 | 0 | 0.34 |
Li J. Sim | 5 | 0 | 0.34 |
Kyong Jin Shim | 6 | 67 | 13.91 |