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Cross-lingual Emotion Detection. (arXiv:2106.06017v2 [cs.CL] UPDATED)
May 6, 2022, 1:11 a.m. | Sabit Hassan, Shaden Shaar, Kareem Darwish
cs.CL updates on arXiv.org arxiv.org
Emotion detection can provide us with a window into understanding human
behavior. Due to the complex dynamics of human emotions, however, constructing
annotated datasets to train automated models can be expensive. Thus, we explore
the efficacy of cross-lingual approaches that would use data from a source
language to build models for emotion detection in a target language. We compare
three approaches, namely: i) using inherently multilingual models; ii)
translating training data into the target language; and iii) using an
automatically …
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