Document Type
Conference Proceeding
Publication Date
1-1-2020
Journal / Book Title
Ceur Workshop Proceedings
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.
Montclair State University Digital Commons Citation
Ducret, Martina; Kruse, Lauren; Martinez, Carlos; Feldman, Anna; and Peng, Jing, "You don’t say... Linguistic features in sarcasm detection" (2020). Department of Computer Science Faculty Scholarship and Creative Works. 682.
https://digitalcommons.montclair.edu/compusci-facpubs/682
Rights
Creative Commons License Attribution 4.0 International (CC BY 4.0)