Web: http://arxiv.org/abs/2209.09824

Sept. 21, 2022, 1:14 a.m. | Dimosthenis Antypas, Asahi Ushio, Jose Camacho-Collados, Leonardo Neves, Vítor Silva, Francesco Barbieri

cs.CL updates on arXiv.org arxiv.org

Social media platforms host discussions about a wide variety of topics that
arise everyday. Making sense of all the content and organising it into
categories is an arduous task. A common way to deal with this issue is relying
on topic modeling, but topics discovered using this technique are difficult to
interpret and can differ from corpus to corpus. In this paper, we present a new
task based on tweet topic classification and release two associated datasets.
Given a wide …

arxiv classification twitter

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