Tunazzina Islam
Graduate Student
Graduate Teaching Assistant
Joined department: Spring 2019
Education
Selected Publications
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). [Acceptance rate: 20%]
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision.
Tunazzina Islam, Dan Goldwasser.
2022 IEEE International Conference on Big Data (IEEE BigData 2022) (Regular paper). [Acceptance rate: 19.2%]
Also accepted at NLP for Positive Impact (NLP4PI 2022) workshop @EMNLP 2022.
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. (* indicates equal contribution)
2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2022). [Acceptance rate: 21%]
Twitter User Representation using Weakly Supervised Graph Embedding.
Tunazzina Islam, Dan Goldwasser.
16th International AAAI Conference on Web and Social Media (ICWSM-2022). [Acceptance rate: 20%]
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). [Acceptance rate: 20%]