Web: http://arxiv.org/abs/2205.03296

May 9, 2022, 1:11 a.m. | Lixing Zhu, Zheng Fang, Gabriele Pergola, Rob Procter, Yulan He

cs.CL updates on arXiv.org arxiv.org

Building models to detect vaccine attitudes on social media is challenging
because of the composite, often intricate aspects involved, and the limited
availability of annotated data. Existing approaches have relied heavily on
supervised training that requires abundant annotations and pre-defined aspect
categories. Instead, with the aim of leveraging the large amount of unannotated
data now available on vaccination, we propose a novel semi-supervised approach
for vaccine attitude detection, called VADet. A variational autoencoding
architecture based on language models is employed …

arxiv detection learning media social social media topics vaccine

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