Distant supervision for emotion classification task using emoji2emotion

Aisulu Rakhmetullina, Dietrich Trautmann, Georg Groh

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations


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


Dive into the research topics of 'Distant supervision for emotion classification task using emoji2emotion'. Together they form a unique fingerprint.

Cite this