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Ramya Tekumalla

Observed names: Ramya T., Ramya, Tekumala, Ramya, Tekumalla, Tekumalla, Ramya, Tekumalla,Ramya
ORCID: 0000-0002-1606-4856
Observed ORCIDs: 0000-0002-1606-4856, 0000-0002-2533-0407
OpenAlex ID: A5043622075
A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration
2021 · Juan M. Banda, Ramya Tekumalla, et al. · Epidemiologia · 323
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A Twitter Dataset of 100+ million tweets related to COVID-19
2020 · Banda, Juan M., Tekumalla, Ramya, et al. · PubMed · 103
Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions
2021 · Ramya Tekumalla, Juan M. Banda · Neural Computing and Applications · 21
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Leveraging Large Language Models and Weak Supervision for Social Media Data Annotation: An Evaluation Using COVID-19 Self-reported Vaccination Tweets
2023 · Ramya Tekumalla, Juan M. Banda · Lecture notes in computer science · 16
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Mining Archive.org’s Twitter Stream Grab for Pharmacovigilance Research Gold
2020 · Ramya Tekumalla, Javad Rafiei Asl, et al. · Proceedings of the International AAAI Conference on Web and Social Media · 14
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A large-scale Twitter dataset for drug safety applications mined from publicly existing resources
2020 · Tekumalla, Ramya, Banda, Juan M. · arXiv (Cornell University) · 13
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Characterizing drug mentions in COVID-19 Twitter Chatter
2020 · Ramya Tekumalla, Juan M Banda · Workshop on NLP for COVID-19 (NLP-COVID19) · 13
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TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision
2022 · Ramya Tekumalla, Juan M. Banda · IEEE International Conference on Big Data (BigData) · 11
Towards automated phenotype definition extraction using large language models
2024 · Ramya Tekumalla, Juan M. Banda · Genomics & Informatics · 10
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Automatic Extraction of Medication Mentions from Tweets—Overview of the BioCreative VII Shared Task 3 Competition
2023 · Davy Weissenbacher, Karen O’Connor, et al. · Database · 7
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Characterization of Potential Drug Treatments for COVID-19 using Social Media Data and Machine Learning
2020 · Ramya Tekumalla, Juan M. Banda · Europe PMC (PubMed Central) · 5
An Empirical Study on Characterizing Natural Disasters in Class Imbalanced Social Media Data using Weak Supervision
2022 · Ramya Tekumalla, Juan M. Banda · IEEE International Conference on Big Data (BigData) · 4
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources
2020 · Tekumalla, Ramya, Banda, Juan · Figshare · 4
Testing an informatics consulting service for systematic bias using negative control reference sets
2024 · Michael Jackson, Saurabh Gombar, et al. · Research Square · 3
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Characterization of Potential Drug Treatments for COVID-19 using Twitter
2020 · Ramya Tekumalla, Juan M Banda · 3
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TweetC19SR-Eng - Manually annotated dataset of English language COVID-19 tweets containing self-reports of symptoms
2023 · Ramya, Tekumala, Robles Hernandez, Luis Alberto, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
TweetC19SR-Spa - Manually annotated dataset of Spanish language COVID-19 tweets containing self-reports of symptoms
2023 · Ramya, Tekumalla, Robles Hernandez, Luis Alberto, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
Mining Archive.org's Twitter Stream Grab for Pharmacovigilance Research Gold Dataset
2019 · Tekumalla, Ramya, Rafiei Asl, Javad, et al. · Figshare · 1
Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations
2023 · Ramya Tekumalla, Luis Alberto Robles Hernandez, et al. · IEEE International Conference on Big Data (BigData)
Hybrid Multi-Criterion Decision-Making Method to Prioritize the Post-COVID-19 Syndrome Follow Up Care
2022 · T. Chandrakumar, Devi Mahalakshmi S., et al. · International Journal of Sociotechnology and Knowledge Development
Identifying epidemic related Tweets using noisy learning
2022 · Tekumalla, Ramya, Banda, Juan M. · arXiv (Cornell University)
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TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision
2022 · Tekumalla, Ramya, Banda, Juan M. · arXiv (Cornell University)
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Dataset: Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter
2022 · Tekumalla, Ramya, Baig, Zia, et al. · Zenodo (CERN European Organization for Nuclear Research)
一个大型Covid-19 Twitter Chatter DataSet，用于开放科学研究 - 国际合作
2021 · Juan M. Banda, Ramya Tekumalla, et al.
Works count: 26
Citation count: 553
H-index: 9
I10-index: 9
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