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Emotional Valence Precedes Semantic Maturation of Words: A Longitudinal Computational Study of Early Verbal Emotional Anchoring

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dc.contributor.authorJorge Botana, Guillermo de
dc.contributor.authorOlmos, Ricardo
dc.contributor.authorMartínez Huertas, José Ángel
dc.date.accessioned2024-05-20T11:48:24Z
dc.date.available2024-05-20T11:48:24Z
dc.date.issued2021-07-19
dc.description.abstractWe present a longitudinal computational study on the connection between emotional and amodal word representations from a developmental perspective. In this study, children's and adult word representations were generated using the latent semantic analysis (LSA) vector space model and Word Maturity methodology. Some children's word representations were used to set a mapping function between amodal and emotional word representations with a neural network model using ratings from 9-year-old children. The neural network was trained and validated in the child semantic space. Then, the resulting neural network was tested with adult word representations using ratings from an adult data set. Samples of 1210 and 5315 words were used in the child and the adult semantic spaces, respectively. Results suggested that the emotional valence of words can be predicted from amodal vector representations even at the child stage, and accurate emotional propagation was found in the adult word vector representations. In this way, different propagative processes were observed in the adult semantic space. These findings highlight a potential mechanism for early verbal emotional anchoring. Moreover, different multiple linear regression and mixed-effect models revealed moderation effects for the performance of the longitudinal computational model. First, words with early maturation and subsequent semantic definition promoted emotional propagation. Second, an interaction effect between age of acquisition and abstractness was found to explain model performance. The theoretical and methodological implications are discussed.en
dc.description.versionversión final
dc.identifier.doihttps://doi.org/10.1111/cogs.13026
dc.identifier.issn0364-0213 eISSN 1551-6709
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12577
dc.journal.issue7
dc.journal.titleCognitive Science: A Multidisciplinary Journal
dc.journal.volume45
dc.language.isoen
dc.publisherWiley
dc.relation.centerFacultad de Psicología
dc.relation.departmentMetodología de las Ciencias del Comportamiento
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject.keywordslexical acquisition
dc.subject.keywordsemotional valence
dc.subject.keywordsneural networks
dc.subject.keywordsword maturity
dc.subject.keywordsLatent Semantic Analysis
dc.subject.keywordsverbal conditioning
dc.subject.keywordslongitudinal modelling
dc.titleEmotional Valence Precedes Semantic Maturation of Words: A Longitudinal Computational Study of Early Verbal Emotional Anchoringes
dc.typejournal articleen
dc.typeartículoes
dspace.entity.typePublication
relation.isAuthorOfPublicationca510876-0be8-438a-a565-ac5f8953fb78
relation.isAuthorOfPublication.latestForDiscoveryca510876-0be8-438a-a565-ac5f8953fb78
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