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.
|Journal||CEUR Workshop Proceedings|
|State||Published - 2020|
|Event||7th Italian Conference on Computational Linguistics, CLiC-it 2020 - Bologna, Italy|
Duration: 1 Mar 2021 → 3 Mar 2021