DeepTingle

Ahmed Khalifa, Gabriella A.B. Barros, Julian Togelius

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

    Abstract

    DeepTingle is a text prediction and classification system trained on the collected works of the renowned fantastic gay erotica author Chuck Tingle. Whereas the writing assistance tools you use everyday (in the form of predictive text, translation, grammar checking and so on) are trained on generic, purportedly “neutral” datasets, DeepTingle is trained on a very specific, internally consistent but externally arguably eccentric dataset. This allows us to foreground and confront the norms embedded in data-driven creativity and productivity assistance tools. As such tools effectively function as extensions of our cognition into technology, it is important to identify the norms they embed within themselves and, by extension, us. DeepTingle is realized as a web application based on LSTM networks and the GloVe word embedding, implemented in JavaScript with Keras-JS.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 8th International Conference on Computational Creativity, ICCC 2017
    EditorsAshok Goel, Anna Jordanous, Alison Pease
    PublisherGeorgia Institute of Technology
    ISBN (Electronic)9780692895641
    StatePublished - 2017
    Event8th International Conference on Computational Creativity, ICCC 2017 - Atlanta, United States
    Duration: Jun 19 2017Jun 23 2017

    Publication series

    NameProceedings of the 8th International Conference on Computational Creativity, ICCC 2017

    Conference

    Conference8th International Conference on Computational Creativity, ICCC 2017
    CountryUnited States
    CityAtlanta
    Period6/19/176/23/17

    ASJC Scopus subject areas

    • Computational Theory and Mathematics

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