Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter Article
An Enhanced Approach to Identify and Extract Medication Mentions in Tweets via Weak Supervision Article Poster Video
Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions Article
A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration Article Dataset Github
Mining Archive. org’s Twitter Stream Grab for Pharmacovigilance Research Gold Article Dataset Github
Characterizing drug mentions in COVID-19 Twitter Chatter Article
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources Article Dataset
Using Weak Supervision to Identify Drug Mentions from Class Imbalanced Twitter Data Poster
Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions Poster
Characterizing drug mentions in COVID-19 Twitter Chatter Poster
Characterization of Potential Drug Treatments for COVID-19 using Social Media data and Machine Learning Poster Video
Leveraging the OHDSI vocabulary to characterize the COVID-19 epidemic using Twitter data and NLP Slides
Identify trends in drug chatter in Twitter Covid-19 data Github
Information Retrieval and Extraction on Mental Health using Research Domain Criteria Github Evaluation Results
Presented a "Web Programming" workshop @ HackGSU 2018, 2019