"Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb

no code implementations • 20 Apr 2023 • Usha Lokala, Orchid Chetia Phukan, Triyasha Ghosh Dastidar, Francois Lamy, Raminta Daniulaityte, Amit Sheth

We use the Drug Abuse Ontology, state-of-the-art deep learning, and knowledge-aware BERT-based models to generate sentiment and emotion for the social media posts to understand users' perceptions on social media by investigating questions such as: which synthetic opioids people are optimistic, neutral, or negative about?

A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework

no code implementations • 22 Mar 2022 • Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md Shad Akthar, Maryam Panahiazar, Amit Sheth

We collect a corpus of $150k$ items (posts and comments) annotated using the subreddit labels and transfer learning approaches.

Multi-Task Learning

eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket

no code implementations • 29 Mar 2021 • Usha Lokala, Francois Lamy, Triyasha Ghosh Dastidar, Kaushik Roy, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit Sheth

However, the lack of evidence on the relationship has resulted in opioids being largely inaccessible through legal means.