1 citations · 1 across the 3 of their papers we have counts for
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Comparing Suicide Risk Insights derived from Clinical and Social Media data
Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan +2
Suicide is the 10th leading cause of death in the US and the 2nd leading cause of death among teenagers. Clinical and psychosocial factors contribute to suicide risk (SRFs), althou…
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India
Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal +3
Epidemiological models are the mathematical models that capture the dynamics of epidemics. The spread of the virus has two routes - exogenous and endogenous. The exogenous spread i…
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak
Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan
The COVID-19 pandemic is having a serious adverse impact on the lives of people across the world. COVID-19 has exacerbated community-wide depression, and has led to increased drug…
Unsupervised Detection of Sub-events in Large Scale Disasters
Chidubem Arachie, Manas Gaur, Sam Anzaroot +3
Social media plays a major role during and after major natural disasters (e.g., hurricanes, large-scale fires, etc.), as people ``on the ground'' post useful information on what is…
empathi: An ontology for Emergency Managing and Planning about Hazard Crisis
Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard +1
In the domain of emergency management during hazard crises, having sufficient situational awareness information is critical. It requires capturing and integrating information from…
What's my age?: Predicting Twitter User's Age using Influential Friend Network and DBpedia
Alan Smith, Manas Gaur
Social media is a rich source of user behavior and opinions. Twitter senses nearly 500 million tweets per day from 328 million users.An appropriate machine learning pipeline over t…