24 citations · 47 across the 14 of their papers we have counts for
4 papers · 1 filter
Challenges and Opportunities in Rapid Epidemic Information Propagation with Live Knowledge Aggregation from Social Media
Calton Pu, Abhijit Suprem, Rodrigo Alves Lima
A rapidly evolving situation such as the COVID-19 pandemic is a significant challenge for AI/ML models because of its unpredictability. %The most reliable indicator of the pandemic…
EDNA-Covid: A Large-Scale Covid-19 Tweets Dataset Collected with the EDNA Streaming Toolkit
Abhijit Suprem, Calton Pu
The Covid-19 pandemic has fundamentally altered many facets of our lives. With nationwide lockdowns and stay-at-home advisories, conversations about the pandemic have naturally mov…
Concept Drift Adaptive Physical Event Detection for Social Media Streams
Abhijit Suprem, Aibek Musaev, Calton Pu
Event detection has long been the domain of physical sensors operating in a static dataset assumption. The prevalence of social media and web access has led to the emergence of soc…
ASSED -- A Framework for Identifying Physical Events through Adaptive Social Sensor Data Filtering
Abhijit Suprem, Calton Pu
Physical event detection has long been the domain of static event processors operating on numeric sensor data. This works well for large scale strong-signal events such as hurrican…