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handle: 10379/16345
Eververse 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), Eververse used data from a quantified self device to automatically generate and publish poetry which correlated with the poet’s varying physical states. This record comprises two datasets from Eververse: a copy of the poet's biometric data (JSON format; daily files) which formed the input for the project's custom-built text generator; a copy of the full generated poem (txt format; monthly files). For further information about Eververse, and to read the generated poem, visit the project website: https://eververse.nuigalway.ie/
Eververse was supported by funding from the European Association for Digital Humanities and the Moore Institute.
Biometrics, Quantified Self, biometrics, poetry, electronic literature, text generation, quantified self, Poetry, Text Generation, Electronic Literature
Biometrics, Quantified Self, biometrics, poetry, electronic literature, text generation, quantified self, Poetry, Text Generation, Electronic Literature
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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