Aug. 31, 2022, 1:13 a.m. | Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi

cs.CL updates on arXiv.org arxiv.org

It is often difficult to correctly infer a writer's emotion from text
exchanged online, and differences in recognition between writers and readers
can be problematic. In this paper, we propose a new framework for detecting
sentences that create differences in emotion recognition between the writer and
the reader and for detecting the kinds of expressions that cause such
differences. The proposed framework consists of a bidirectional encoder
representations from transformers (BERT)-based detector that detects sentences
causing differences in emotion recognition …

arxiv emotion networking social social networking

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