Modelling Context with User Embeddings for Sarcasm Detection in Social Media

Understand

We introduce a deep neural network for automated sarcasm detection.

• Recent work has emphasized the need for models to capitalize on contextual features, beyond lexical and syntactic cues present in utterances.
• For example, different speakers will tend to employ sarcasm regarding different subjects and, thus, sarcasm detection models ought to encode such speaker information.
• Current methods have achieved this by way of laborious feature engineering.