Enhancing legal sentiment analysis: a convolutional neural network–long short-term memory document-level model

dc.contributor.author	Abimbola, B.
dc.contributor.author	Cal Marín, Enrique Antonio de la
dc.contributor.author	Tan, Q.
dc.date.accessioned	2025-02-07T07:23:42Z
dc.date.available	2025-02-07T07:23:42Z
dc.date.issued	2024
dc.identifier.citation	Machine Learning and Knowledge Extraction, 6(2), p. 877-897 (2024); doi:10.3390/make6020041
dc.identifier.issn	2504-4990
dc.identifier.uri	https://hdl.handle.net/10651/76907
dc.format.extent	p. 877-897
dc.language.iso	eng
dc.relation.ispartof	Machine Learning and Knowledge Extraction
dc.rights	© 2024 by the authors
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196799693&doi=10.3390%2fmake6020041&partnerID=40&md5=a2957372c0489232c9bed4b12e7ffe89
dc.title	Enhancing legal sentiment analysis: a convolutional neural network–long short-term memory document-level model
dc.type	journal article
dc.identifier.doi	10.3390/make6020041
dc.relation.publisherversion	http://dx.doi.org/10.3390/make6020041
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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