Are Word Embedding-based Features Useful for Sarcasm Detection?

Understand

This paper makes a simple increment to state-of-the-art in sarcasm detection research.

• Existing approaches are unable to capture subtle forms of context incongruity which lies at the heart of sarcasm.
• We explore if prior work can be enhanced using semantic similarity/discordance between word embeddings.
• We augment word embedding-based features to four feature sets reported in the past.