Modeling Word Emotion in Historical Language: Quantity Beats Supposed Stability in Seed Word Selection

Johannes Hellrich, Sven Buechel, Udo Hahn. Modeling Word Emotion in Historical Language: Quantity Beats Supposed Stability in Seed Word Selection. In Beatrice Alex, Stefania Degaetano-Ortlieb, Anna Kazantseva, Nils Reiter, Stan Szpakowicz, editors, Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCH@NAACL-HLT 2019, Minneapolis, MN, USA, June 7, 2019. pages 1-11, Association for Computational Linguistics, 2019. [doi]

Abstract

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