23 citations · 62 across the 7 of their papers we have counts for
7 papers
Social network modeling and applications, a tutorial
Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi
Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…
"Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb
Usha Lokala, Orchid Chetia Phukan, Triyasha Ghosh Dastidar +3
Opioid and substance misuse is rampant in the United States today, with the phenomenon known as the "opioid crisis". The relationship between substance use and mental health has be…
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework
Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar +4
Analyzing gender is critical to study mental health (MH) support in CVD (cardiovascular disease). The existing studies on using social media for extracting MH symptoms consider sym…
eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket
Usha Lokala, Francois Lamy, Triyasha Ghosh Dastidar +4
Opioid and substance misuse is rampant in the United States today, with the phenomenon known as the opioid crisis. The relationship between substance use and mental health has been…
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision
Kaushik Roy, Usha Lokala, Vedant Khandelwal +1
With strong marketing advocacy of the benefits of cannabis use for improved mental health, cannabis legalization is a priority among legislators. However, preliminary scientific re…
"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction
Shweta Yadav, Usha Lokala, Raminta Daniulaityte +3
With the increasing legalization of medical and recreational use of cannabis, more research is needed to understand the association between depression and consumer behavior related…
"What's ur type?" Contextualized Classification of User Types in Marijuana-related Communications using Compositional Multiview Embedding
Ugur Kursuncu, Manas Gaur, Usha Lokala +5
With 93% of pro-marijuana population in US favoring legalization of medical marijuana, high expectations of a greater return for Marijuana stocks, and public actively sharing infor…