AAAI Publications, Thirty-First AAAI Conference on Artificial Intelligence

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Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation
Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark Carman

Last modified: 2017-02-12

Abstract


Sarcasm Suite is a browser-based engine that deploys five of our past papers in sarcasm detection and generation. The sarcasm detection modules use four kinds of incongruity: sentiment incongruity, semantic incongruity, historical context incongruity and conversational context incongruity. The sarcasm generation module is a chatbot that responds sarcastically to user input. With a visually appealing interface that indicates predictions using `faces' of our co-authors from our past papers, Sarcasm Suite is our first demonstration of our work in computational sarcasm.

Keywords


sentiment analysis; sarcasm; computational sarcasm; sarcasm generation; natural language generation

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