295 citations · 383 across the 23 of their papers we have counts for
8 papers · 1 filter
Real-time Spatio-temporal Event Detection on Geotagged Social Media
Yasmeen George, Shanika Karunasekera, Aaron Harwood +1
A key challenge in mining social media data streams is to identify events which are actively discussed by a group of people in a specific local or global area. Such events are usef…
TweetCOVID: A System for Analyzing Public Sentiments and Discussions about COVID-19 via Twitter Activities
Jolin Shaynn-Ly Kwan, Kwan Hui Lim
The COVID-19 pandemic has created widespread health and economical impacts, affecting millions around the world. To better understand these impacts, we present the TweetCOVID syste…
Urban Crowdsensing using Social Media: An Empirical Study on Transformer and Recurrent Neural Networks
Jerome Heng, Junhua Liu, Kwan Hui Lim
An important aspect of urban planning is understanding crowd levels at various locations, which typically require the use of physical sensors. Such sensors are potentially costly a…
Urban Heat Islands: Beating the Heat with Multi-Modal Spatial Analysis
Marcus Yong, Kwan Hui Lim
In today's highly urbanized environment, the Urban Heat Island (UHI) phenomenon is increasingly prevalent where surface temperatures in urbanized areas are found to be much higher…
Understanding Public Sentiments, Opinions and Topics about COVID-19 using Twitter
Jolin Shaynn-Ly Kwan, Kwan Hui Lim
The COVID-19 pandemic has caused widespread devastation throughout the world. In addition to the health and economical impacts, there is an enormous emotional toll associated with…
Mining Influentials and their Bot Activities on Twitter Campaigns
Shanika Karunasekera, Kwan Hui Lim, Aaron Harwood
Twitter is increasingly used for political, advertising and marketing campaigns, where the main aim is to influence users to support specific causes, individuals or groups. We prop…
EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant Tweets
Junhua Liu, Trisha Singhal, Lucienne T. M. Blessing +2
Since the start of COVID-19, several relevant corpora from various sources are presented in the literature that contain millions of data points. While these corpora are valuable in…
A Large-scale Industrial and Professional Occupation Dataset
Junhua Liu, Yung Chuen Ng, Kwan Hui Lim
There has been growing interest in utilizing occupational data mining and analysis. In today's job market, occupational data mining and analysis is growing in importance as it enab…