Tonra, Justin
Kelly, David
Khawaja, Waqas
Davis, Brian
2020-11-24
<p><em>Eververse</em> was a yearlong project (2019-20) which synthesised perspectives from 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 processing and analysis, and Natural Language Generation (NLG), <em>Eververse</em> used data from a quantified self device to automatically generate and publish poetry which correlated with the poet’s varying physical states.</p>
<p>This record comprises two datasets from <em>Eververse</em>: </p>
<ol>
<li>a copy of the poet's biometric data (JSON format; daily files) which formed the input for the project's custom-built text generator;</li>
<li>a copy of the full generated poem (txt format; monthly files).</li>
</ol>
<p>For further information about <em>Eververse</em>, and to read the generated poem, visit the project website: <a href="https://eververse.nuigalway.ie/">https://eververse.nuigalway.ie/</a></p>
<p> </p>
Eververse was supported by funding from the European Association for Digital Humanities and the Moore Institute.
https://doi.org/10.5281/zenodo.4288804
oai:zenodo.org:4288804
eng
Zenodo
https://doi.org/10.5281/zenodo.4288803
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
biometrics, poetry, electronic literature, text generation, quantified self
Eververse data
info:eu-repo/semantics/other