Computational analyses of the topics, sentiments, literariness, creativity and beauty of texts in a large Corpus of English Literature. (arXiv:2201.04356v1 [cs.CL])

The Gutenberg Literary English Corpus (GLEC, Jacobs, 2018a) provides a rich
source of textual data for research in digital humanities, computational
linguistics or neurocognitive poetics. In this study we address differences
among the different literature categories in GLEC, as well as differences
between authors. We report the results of three studies providing i) topic and
sentiment analyses for six text categories of GLEC (i.e., children and youth,
essays, novels, plays, poems, stories) and its >100 authors, ii) novel measures
of …

arxiv computational creativity literature