Publicación:
Towards an Automatic Generation of Persuasive Messages

Página de artículo simple
dc.contributor.author Lipa-Urbina E. es_PE
dc.contributor.author Condori-Fernandez N. es_PE
dc.contributor.author Suni-Lopez F. es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2021
dc.description Acknowledgments. This work has been supported by CONCYTEC - FONDECYT within the framework of the call E038-01 contract 014-2019. N. Condori Fernandez wish also to thank Datos 4.0 (TIN2016-78011-C4-1-R) funded by MINECO-AEI/FEDER-UE.
dc.description.abstract In the last decades, the Natural Language Generation (NLG) methods have been improved to generate text automatically. However, based on the literature review, there are not works on generating text for persuading people. In this paper, we propose to use the SentiGAN framework to generate messages that are classified into levels of persuasiveness. And, we run an experiment using the Microtext dataset for the training phase. Our preliminary results show 0.78 of novelty on average, and 0.57 of diversity in the generated messages. © 2021, Springer Nature Switzerland AG.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.1007/978-3-030-79460-6_5
dc.identifier.scopus 2-s2.0-85111997254
dc.identifier.uri https://hdl.handle.net/20.500.12390/3071
dc.language.iso eng
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.relation.ispartof Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Text generation
dc.subject Persuasive message es_PE
dc.subject SentiGAN es_PE
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#2.02.02
dc.title Towards an Automatic Generation of Persuasive Messages
dc.type info:eu-repo/semantics/conferenceObject
dspace.entity.type Publication
Archivos
Colecciones
1.1 Eventos institucionales
 6.1 Proyectos de investigación científica