You don’t say... Linguistic features in sarcasm detection

Martina Ducret, Lauren Kruse, Carlos Martinez, Anna Feldman, Jing Peng

Research output: Contribution to journalConference articlepeer-review

Abstract

We explore linguistic features that contribute to sarcasm detection. The linguistic features that we investigate are a combination of text and word complexity, stylistic and psychological features. We experiment with sarcastic tweets with and without context. The results of our experiments indicate that contextual information is crucial for sarcasm prediction. One important observation is that sarcastic tweets are typically incongruent with their context in terms of sentiment or emotional load.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume2769
StatePublished - 2020
Event7th Italian Conference on Computational Linguistics, CLiC-it 2020 - Bologna, Italy
Duration: 1 Mar 20213 Mar 2021

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