Sarcasm suite: a browser-based engine for sarcasm detection and generation

Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark Carman

    Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

    6 Citations (Scopus)


    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.

    Original languageEnglish
    Title of host publicationProceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17)
    EditorsSatinder Singh, Shaul Markovitch
    Place of PublicationPalo Alto CA USA
    PublisherAssociation for the Advancement of Artificial Intelligence (AAAI)
    Number of pages2
    ISBN (Print)9781577357858
    Publication statusPublished - 2017
    EventAAAI Conference on Artificial Intelligence 2017 - Hilton San Francisco Union Square, San Francisco, United States of America
    Duration: 4 Feb 201710 Feb 2017
    Conference number: 31st


    ConferenceAAAI Conference on Artificial Intelligence 2017
    Abbreviated titleAAAI 2017
    Country/TerritoryUnited States of America
    CitySan Francisco
    Internet address

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