Ex-Twit: Explainable Twitter Mining on Health Data
Tunazzina Islam. 7th International Workshop on Natural Language Processing for Social Media (SocialNLP 2019) @ IJCAI-2019
CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
A Machine Learning Approach for Efficient Parallel Simulation of Beam Dynamics on GPUs
Kamesh Arumugam, Desh Ranjan, Mohammad Zubair, Balsa Terzic, Alexander Godunov, Tunazzina Islam. 46th International Conference on Parallel Processing (ICPP) 2017, pp. 462-471.
REXTAL: Regional Extension of Assemblies Using Linked-Reads
Tunazzina Islam, Desh Ranjan, Eleanor Young, Ming Xiao, Mohammad Zubair, Harold Riethman. 14th International Symposium on Bioinformatics Research and Applications (ISBRA) 2018, pp.63-78.
A Method for Characterization of β-strand Twist from a 3-Dimensional Image of a Protein
Tunazzina Islam, Michael Poteat, Jing He. Computational Structural Bioinformatics Workshop (CSBW) 2017 in conjunction with 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) 2017, pp. 650-654.
Quantification of Twist from the Central Lines of β-strands
Tunazzina Islam, Michael Poteat, Jing He. Journal of Computational Biology (JCB) 2018, 25 (1): 114-120.
Yoga-Veganism: Correlation Mining of Twitter Health Data
Tunazzina Islam. In Proceedings of 8th KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM) @ KDD 2019
Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information
Tunazzina Islam, Dan Goldwasser. 2020 IEEE International Conference on Big Data (IEEE BigData 2020)
Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging
Tunazzina Islam, Ruqi Zhang, Dan Goldwasser. 6th AAAI/ACM Conference on AI, Ethics, and Society 2023 (AIES-2023).
Interactively Uncovering Latent Arguments in Social Media Platforms: A Case Study on the Covid-19 Vaccine Debate
Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar, Ming Yin, Dan Goldwasser. Proceedings of the Fourth Workshop on Data Science with Human in the Loop: Language Advances.
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision
Tunazzina Islam, Dan Goldwasser. 2022 IEEE International Conference on Big Data (IEEE BigData 2022).
Do You Do Yoga? Understanding Twitter Users’ Types and Motivations using Social and Textual Information
Tunazzina Islam, Dan Goldwasser. 2021 IEEE 15th International Conference on Semantic Computing (ICSC 2021).
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate
Maria Leonor Pacheco*, Tunazzina Islam*, Monal Mahajan, Andrey Shor, Ming Yin, Lyle Ungar, Dan Goldwasser.Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2022), 5821–583.
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections
Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar, Ming Yin, Dan Goldwasser. Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023
Can LLMs Assist Annotators in Identifying Morality Frames? - Case Study on Vaccination Debate on Social Media
Tunazzina Islam, Dan Goldwasser. Preprint 2024.
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation
Tunazzina Islam, Dan Goldwasser. Preprint 2024.
Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMs
Tunazzina Islam, Dan Goldwasser. 19th International AAAI Conference on Web and Social Media (ICWSM 2025).
Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
Tunazzina Islam, Dan Goldwasser. Preprint 2024.
Understanding Microtargeting Pattern on Social Media
Tunazzina Islam. AAAI-25 Doctoral Consortium.
Weakly Supervised Learning for Analyzing Political Campaigns on Facebook
Tunazzina Islam, Shamik Roy, Dan Goldwasser. 17th International AAAI Conference on Web and Social Media (ICWSM 2023).
Twitter User Representation Using Weakly Supervised Graph Embedding
Tunazzina Islam, Dan Goldwasser. 16th International AAAI Conference on Web and Social Media (ICWSM-2022), 16(1), 358-369.
Analysis of Twitter Users’ Lifestyle Choices using Joint Embedding Model
Tunazzina Islam, Dan Goldwasser. 15th International AAAI Conference on Web and Social Media (ICWSM-2021), 15(1), 242-253.
Talks
Teaching
Service and leadership
- Currently signed in to 43 different slack teams