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dc.contributor.authorDe la Torre-Moreno, Pablo
dc.contributor.authorLeón, Carlos
dc.contributor.authorSalguero-Hidalgo, Alberto Gabriel 
dc.date.accessioned2024-12-12T10:13:09Z
dc.date.available2024-12-12T10:13:09Z
dc.date.issued2021-03-08
dc.identifier.citationP. Delatorre, C. León and A. S. Hidalgo, "Improving the Fitness Function of an Evolutionary Suspense Generator Through Sentiment Analysis," in IEEE Access, vol. 9, pp. 39626-39635, 2021, doi: 10.1109/ACCESS.2021.3064242es_ES
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/10630/35611
dc.description.abstractThe perception of suspense in stories is affected not only by general literary aspects like narrative structure and linguistic features, but also by anticipation and evocation of feelings like aversion, disgust or empathy. As such, it is possible to alter the feeling of suspense by modifying components of a story that convey these feelings to the audience. Based on a previous straightforward model of suspense adaptation, this paper describes the design, implementation and evaluation of a computational system that adapts narrative scenes for conveying a specific user-defined amount of suspense. The system is designed to address the impact of different types of emotional components on the reader. The relative weighted suspense of these components is computed with a regression model based on a sentiment analysis tool, and used as a fitness function in an evolutionary algorithm. This new function is able to identify the different weights on the prediction of suspense in aspects like outcome, decorative elements, or threat’s appearance. The results indicate that this approach represents a significant improvement over the previous existing approach.es_ES
dc.description.sponsorshipUniversity of Cadiz Programme for Researching and Innovation in Education (Grant Number: SOL-201500054211-TRA) Ministerio de Ciencia e Innovación (Grant Number: PID2019-108927RB-I00) University Complutense of Madrid (Grant Number: FEI-EU-17-23)es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/*
dc.subjectPrevisión, Teoría de laes_ES
dc.subject.otherTeoría de la predicciónes_ES
dc.subject.otherSistemas narrativoses_ES
dc.subject.otherAnálisis de sentimientoses_ES
dc.titleImproving the fitness function of an evolutionary suspense generator through sentiment analysises_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.identifier.doi10.1109/ACCESS.2021.3064242
dc.rights.ccAttribution-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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