311 citations · 352 across the 6 of their papers we have counts for
7 papers
Leveraging Large Language Models and Weak Supervision for Social Media data annotation: an evaluation using COVID-19 self-reported vaccination tweets
Ramya Tekumalla, Juan M. Banda
The COVID-19 pandemic has presented significant challenges to the healthcare industry and society as a whole. With the rapid development of COVID-19 vaccines, social media platform…
Identifying epidemic related Tweets using noisy learning
Ramya Tekumalla, Juan M. Banda
Supervised learning algorithms are heavily reliant on annotated datasets to train machine learning models. However, the curation of the annotated datasets is laborious and time con…
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision
Ramya Tekumalla, Juan M. Banda
Social media is often utilized as a lifeline for communication during natural disasters. Traditionally, natural disaster tweets are filtered from the Twitter stream using the name…
Characterizing drug mentions in COVID-19 Twitter Chatter
Ramya Tekumalla, Juan M. Banda
Since the classification of COVID-19 as a global pandemic, there have been many attempts to treat and contain the virus. Although there is no specific antiviral treatment recommend…
A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaboration
Juan M. Banda, Ramya Tekumalla, Guanyu Wang +6
As the COVID-19 pandemic continues its march around the world, an unprecedented amount of open data is being generated for genetics and epidemiological research. The unparalleled r…
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources
Ramya Tekumalla, Juan M. Banda
With the increase in popularity of deep learning models for natural language processing (NLP) tasks, in the field of Pharmacovigilance, more specifically for the identification of…
Social Media Mining Toolkit (SMMT)
Ramya Tekumalla, Juan M. Banda
There has been a dramatic increase in the popularity of utilizing social media data for research purposes within the biomedical community. In PubMed alone, there have been nearly 2…