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pro vyhledávání: '"Nikolas Haimerl"'
Autor:
Segun Taofeek Aroyehun, Lukas Malik, Hannah Metzler, Nikolas Haimerl, Anna Di Natale, David Garcia
Publikováno v:
EPJ Data Science, Vol 12, Iss 1, Pp 1-21 (2023)
Abstract The wealth of text data generated by social media has enabled new kinds of analysis of emotions with language models. These models are often trained on small and costly datasets of text annotations produced by readers who guess the emotions
Externí odkaz:
https://doaj.org/article/2c0c9754e01746b0a6b10b3afc491faf