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

Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark James Carman

AAAI 2017 pp. 5095-5096

doi:10.1609/AAAI.V31I1.10532 /aaai/2017/joshi2017aaai-sarcasm/

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.

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Cite

Text

Joshi et al. "Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation." AAAI Conference on Artificial Intelligence, 2017. doi:10.1609/AAAI.V31I1.10532

Markdown

[Joshi et al. "Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation." AAAI Conference on Artificial Intelligence, 2017.](https://mlanthology.org/aaai/2017/joshi2017aaai-sarcasm/) doi:10.1609/AAAI.V31I1.10532

BibTeX

@inproceedings{joshi2017aaai-sarcasm,
  title     = {{Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation}},
  author    = {Joshi, Aditya and Kanojia, Diptesh and Bhattacharyya, Pushpak and Carman, Mark James},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2017},
  pages     = {5095-5096},
  doi       = {10.1609/AAAI.V31I1.10532},
  url       = {https://mlanthology.org/aaai/2017/joshi2017aaai-sarcasm/}
}