Distant supervision for emotion classification task using emoji2emotion

Aisulu Rakhmetullina, Dietrich Trautmann, Georg Groh

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

Increasing number of research in the area of distant supervision for emotion detection task requires a reliable mapping between noisy labels and emotion classes. We propose a method for an experimental creation of such a reliable mapping based on manually annotated data and quantitative relations between labels and classes on example of emoji-emotion pair in a form of emoji2emotion mapping.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume2130
StatePublished - 2018
Event1st International Workshop on Emoji Understanding and Applications in Social Media, Emoji 2018 - Stanford, United States
Duration: 25 Jun 2018 → …

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