RT Journal Article
T1 Improving the fitness function of an evolutionary suspense generator through sentiment analysis
A1 De la Torre-Moreno, Pablo
A1 León, Carlos
A1 Salguero-Hidalgo, Alberto Gabriel
K1 Previsión, Teoría de la
AB The 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.
PB IEEE
SN 2169-3536
YR 2021
FD 2021-03-08
LK https://hdl.handle.net/10630/35611
UL https://hdl.handle.net/10630/35611
LA eng
NO P. 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.2021.3064242
NO University 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)
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026