Web: http://arxiv.org/abs/2206.11160

June 23, 2022, 1:12 a.m. | Keith Harrigian, Mark Dredze

cs.CL updates on arXiv.org arxiv.org

Social media allows researchers to track societal and cultural changes over
time based on language analysis tools. Many of these tools rely on statistical
algorithms which need to be tuned to specific types of language. Recent studies
have shown the absence of appropriate tuning, specifically in the presence of
semantic shift, can hinder robustness of the underlying methods. However,
little is known about the practical effect this sensitivity may have on
downstream longitudinal analyses. We explore this gap in the …

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