Ramya Tekumalla

发表

Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter

Luis Alberto Robles Hernandez, J. Banda, Juan M Banda, 2022, ICWSM Workshops.

TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision

J. Banda, Ramya Tekumalla, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Identifying epidemic related Tweets using noisy learning

J. Banda, Ramya Tekumalla, 2022, ArXiv.

Social Media Mining Toolkit (SMMT)

J. Banda, Ramya Tekumalla, 2020, Genomics & informatics.

A large-scale Twitter dataset for drug safety applications mined from publicly existing resources pdf

Juan M. Banda, Ramya Tekumalla, J. Banda, 2020, ArXiv.

A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration

Juan M. Banda, Ramya Tekumalla, Guanyu Wang, 2020, Epidemiolgia.

Mining Archive.org’s Twitter Stream Grab for Pharmacovigilance Research Gold

Juan M. Banda, Ramya Tekumalla, Javad Rafiei Asl, 2019, bioRxiv.

A Twitter Dataset of 150+ million tweets related to COVID-19 for open research

Gerardo Chowell, Juan M. Banda, Ramya Tekumalla, 2020 .

Characterization of Potential Drug Treatments for COVID-19 using Social Media Data and Machine Learning pdf

Juan M. Banda, Ramya Tekumalla, J. Banda, 2020, ArXiv.

An Empirical Study on Characterizing Natural Disasters in Class Imbalanced Social Media Data using Weak Supervision

J. Banda, Ramya Tekumalla, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions

J. Banda, Ramya Tekumalla, 2021, Neural Computing and Applications.

Leveraging Large Language Models and Weak Supervision for Social Media data annotation: an evaluation using COVID-19 self-reported vaccination tweets

J. Banda, Ramya Tekumalla, 2023, HCI.

An Enhanced Approach to Identify and Extract Medication Mentions in Tweets via Weak Supervision

J. Banda, Ramya Tekumalla, 2022 .

Automatic Extraction of Medication Mentions from Tweets—Overview of the BioCreative VII Shared Task 3 Competition

Richard Tzong-Han Tsai, Hong-Jie Dai, D. Weissenbacher, 2023, Database J. Biol. Databases Curation.

A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration

G. Chowell, J. Banda, Jingyuan Yu, 2020, Epidemiolgia.