Poetry In Motion: Quantified Self Data And Automated Poetry Generation

    Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

    Abstract

    Eververse is a project which synthesises perspectives from disciplines in the humanities and sciences to develop critical and creative explorations of poetry and poetic identity in the digital age. Deploying tools and methods from poetic theory, data analysis, and Natural Language Generation (NLG): the automatic production of natural language output from a non-linguistic data source (Reiter and Dale, 2000). Eververse uses data from quantified self (QS) devices to automatically generate and publish poetry which correlates to the wearer poets varying physical states.
    Original languageEnglish (Ireland)
    Title of host publicationDH2019: Digital Humanities 2019
    Place of PublicationUtrecht
    Publication statusPublished - 1 Jul 2019

    Authors (Note for portal: view the doc link for the full list of authors)

    • Authors
    • Tonra, Justin; David, Brian; Kelly, David; Khawaja, Waqas

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