Characterizing drug mentions in COVID-19 Twitter Chatter. - Ramya Tekumalla; Juan M. Banda (NLP4COVID@EMNLP, 2020)

Mining Archive.org's Twitter Stream Grab for Pharmacovigilance Research Gold. - Ramya Tekumalla; Javad Rafiei-Asl; Juan M. Banda (ICWSM, 2020)

Social Media Mining Toolkit (SMMT). - Ramya Tekumalla; Juan M. Banda (CoRR, 2020)

A large-scale Twitter dataset for drug safety applications mined from publicly existing resources. - Ramya Tekumalla; Juan M. Banda (CoRR, 2020)

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration. - Juan M. Banda; Ramya Tekumalla; Guanyu Wang; Jingyuan Yu; Tuo Liu; Yuning Ding; Gerardo Chowell (CoRR, 2020)

Characterization of Potential Drug Treatments for COVID-19 using Social Media Data and Machine Learning. - Ramya Tekumalla; Juan M. Banda (CoRR, 2020)

TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision. - Ramya Tekumalla; Juan M. Banda (IEEE Big Data, 2022)

An Empirical Study on Characterizing Natural Disasters in Class Imbalanced Social Media Data using Weak Supervision. - Ramya Tekumalla; Juan M. Banda (IEEE Big Data, 2022)

Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter. - Ramya Tekumalla; Zia Baig; Michelle Pan; Luis Alberto Robles Hernandez; Michael Wang; Juan M. Banda (ICWSM Workshops, 2022)

Identifying epidemic related Tweets using noisy learning. - Ramya Tekumalla; Juan M. Banda (CoRR, 2022)

Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations. - Ramya Tekumalla; Luis Alberto Robles Hernandez; Juan M. Banda (IEEE Big Data, 2023)

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 (HCI (50), 2023)

Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition. - Davy Weissenbacher; Karen O'Connor; Siddharth Rawal; Yu Zhang 202; Richard Tzong-Han Tsai; Timothy Miller 002; Dongfang Xu; Carol Anderson; Bo Liu; Qing Han; Jinfeng Zhang; Igor Kulev; et al. (Database J. Biol. Databases Curation, 2023)

Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions. - Ramya Tekumalla; Juan M. Banda (Neural Comput. Appl., 2023)