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Computational analyses of the topics, sentiments, literariness, creativity and beauty of texts in a large Corpus of English Literature ...
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Computational Models of Readers' Apperceptive Mass
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In: Front Artif Intell (2022)
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Modelling brain representations of abstract concepts
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In: PLoS Comput Biol (2022)
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Neural processing of vision and language in kindergarten is associated with prereading skills and predicts future literacy ...
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Neural correlates of affective contributions to lexical decisions in children and adults ...
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Neural correlates of affective contributions to lexical decisions in children and adults
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In: Sci Rep (2021)
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From Abstract Symbols to Emotional (In-)Sights ... : An Eye Tracking Study on the Effects of Emotional Vignettes and Pictures ...
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Quasi Error-free Text Classification and Authorship Recognition in a large Corpus of English Literature based on a Novel Feature Set ...
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Abstract:
The Gutenberg Literary English Corpus (GLEC) provides a rich source of textual data for research in digital humanities, computational linguistics or neurocognitive poetics. However, so far only a small subcorpus, the Gutenberg English Poetry Corpus, has been submitted to quantitative text analyses providing predictions for scientific studies of literature. Here we show that in the entire GLEC quasi error-free text classification and authorship recognition is possible with a method using the same set of five style and five content features, computed via style and sentiment analysis, in both tasks. Our results identify two standard and two novel features (i.e., type-token ratio, frequency, sonority score, surprise) as most diagnostic in these tasks. By providing a simple tool applicable to both short poems and long novels generating quantitative predictions about features that co-determe the cognitive and affective processing of specific text categories or authors, our data pave the way for many future ... : 18 pages, 3 tables ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2010.10801 https://dx.doi.org/10.48550/arxiv.2010.10801
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The Foregrounding Assessment Matrix: An interface for qualitative-quantitative interdisciplinary research ...
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What is the Difference? ... : Rereading Shakespeare’s Sonnets — an Eye Tracking Study ...
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Computing the Affective-Aesthetic Potential of Literary Texts ...
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Sentiment Analysis of Children and Youth Literature: Is There a Pollyanna Effect? ...
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From Abstract Symbols to Emotional (In-)Sights: An Eye Tracking Study on the Effects of Emotional Vignettes and Pictures
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In: Front Psychol (2020)
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What Is the Difference? Rereading Shakespeare’s Sonnets —An Eye Tracking Study
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Reading Shakespeare sonnets ... : Combining quantitative narrative analysis and predictive modeling - an eye tracking study ...
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Reading Shakespeare Sonnets: Combining Quantitative Narrative Analysis and Predictive Modeling —an Eye Tracking Study
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In: J Eye Mov Res (2019)
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A model-guided dissociation between subcortical and cortical contributions to word recognition
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Affective Congruence between Sound and Meaning of Words Facilitates Semantic Decision ...
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