Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation

Authors

  • Aditya Joshi IITB-Monash Research Academy
  • Diptesh Kanojia IITB-Monash Research Academy
  • Pushpak Bhattacharyya Indian Institute of Technology Bombay
  • Mark Carman Monash University, Australia

DOI:

https://doi.org/10.1609/aaai.v31i1.10532

Keywords:

sentiment analysis, sarcasm, computational sarcasm, sarcasm generation, natural language generation

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.

AAAI-2017 Proceedings Cover

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Published

2017-02-12

How to Cite

Joshi, A., Kanojia, D., Bhattacharyya, P., & Carman, M. (2017). Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1). https://doi.org/10.1609/aaai.v31i1.10532

Issue

Vol. 31 No. 1 (2017): Thirty-First AAAI Conference on Artificial Intelligence

Section

Demonstrations