Feng Shi,1 Gang Yang,1 Juan Ren,2 Teng Guo,1 Yan Du,1 Nianping Feng1 1Department of Pharmaceutics, School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China; 2Department of Traditional Chinese Medicine, Changhai Hospital, Shanghai, People's Republic of China Abstract: In the present study,
Past studies in Sarcasm Detection mostly make use of Twitter datasets collected using hashtag-based supervision but such read more datasets are noisy in terms of labels and language.To overcome the limitations related to noise in Twitter datasets, this News Headlines dataset for Sarcasm Detection is collected from two news website.TheOnion aims at
Commentary: Global lockdowns and border closures during the COVID-19 pandemic has meant that educational institutions and international conferences have taken on a virtual existence for more than two years.Uncertainties surrounding the pandemic and the enormity of its impact became a focal point of academic scrutiny for communication sciences and m
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