The study, conducted by a team from the Indian Institute of Technology and National Institute of Technology, focused on using BERT and LightGBM models for binary classification of self-reported COVID-19…
Continue readingThe research paper presents the work of Team Shayona on two tasks of SMMH4-23. Task 1 involved the binary classification of English tweets self-reporting a COVID-19 diagnosis, and Task 4…
Continue readingThis paper presents a study on COVID-19 vaccine misinformation in three middle-income countries: Brazil, Indonesia, and Nigeria. It introduces a multilingual dataset of such misinformation, consisting of annotated tweets. The…
Continue readingThe study investigates user responses to misinformation flags in a hypothetical social media setting. It focuses on whether these warnings influence users’ perceived accuracy judgement and sharing intent of the…
Continue readingThe study focuses on the use of machine learning techniques to detect persistent inflammatory biomarkers in post-COVID-19 patients. The research involved 290 patients, using data collected from hospitals in Iraq….
Continue readingIn a world rapidly influenced by social media, understanding public sentiment is paramount. This paper dives into sentiment analysis of Twitter data from India related to the COVID-19 pandemic. By…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
