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DomainSenticNet: An Ontology and a Methodology Enabling Domain-aware Sentic Computing

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DomainSenticNet: An Ontology and a Methodology Enabling Domain-aware Sentic Computing

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dc.contributor.author Distante, Damiano es_ES
dc.contributor.author Faralli, Stefano es_ES
dc.contributor.author Rittinghaus, Steve es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.contributor.author Samsami, Nima es_ES
dc.date.accessioned 2022-11-25T19:02:09Z
dc.date.available 2022-11-25T19:02:09Z
dc.date.issued 2022-01 es_ES
dc.identifier.issn 1866-9956 es_ES
dc.identifier.uri http://hdl.handle.net/10251/190207
dc.description.abstract [EN] In recent years, SenticNet and OntoSenticNet have represented important developments in the novel interdisciplinary field of research known as sentic computing, enabling the development of a variety of Sentic applications. In this paper, we propose an extension of the OntoSenticNet ontology, named DomainSenticNet, and contribute an unsupervised methodology to support the development of domain-aware Sentic applications. We developed an unsupervised methodology that, for each concept in OntoSenticNet, mines semantically related concepts from WordNet and Probase knowledge bases and computes domain distributional information from the entire collection of Kickstarter domain-specific crowdfunding campaigns. Subsequently, we applied DomainSenticNet to a prototype tool for Kickstarter campaign authoring and success prediction, demonstrating an improvement in the interpretability of sentiment intensities. DomainSenticNet is an extension of the OntoSenticNet ontology that integrates each of the 100,000 concepts included in OntoSenticNet with a set of semantically related concepts and domain distributional information. The defined unsupervised methodology is highly replicable and can be easily adapted to build similar domain-aware resources from different domain corpora and external knowledge bases. Used in combination with OntoSenticNet, DomainSenticNet may favor the development of novel hybrid aspect-based sentiment analysis systems and support further research on sentic computing in domain-aware applications. es_ES
dc.description.sponsorship The work of Paolo Rosso was partially funded by the Spanish MICINN under the project PGC2018-096212-B-C31. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Cognitive Computation es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Sentic computing es_ES
dc.subject SenticNet es_ES
dc.subject OntoSenticNet es_ES
dc.subject Kickstarter es_ES
dc.subject Interpretability es_ES
dc.subject Opinion mining es_ES
dc.subject Marketing es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title DomainSenticNet: An Ontology and a Methodology Enabling Domain-aware Sentic Computing es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s12559-021-09825-w es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-096212-B-C31/ES/DESINFORMACION Y AGRESIVIDAD EN SOCIAL MEDIA: AGREGANDO INFORMACION Y ANALIZANDO EL LENGUAJE/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Distante, D.; Faralli, S.; Rittinghaus, S.; Rosso, P.; Samsami, N. (2022). DomainSenticNet: An Ontology and a Methodology Enabling Domain-aware Sentic Computing. Cognitive Computation. 14(1):62-77. https://doi.org/10.1007/s12559-021-09825-w es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s12559-021-09825-w es_ES
dc.description.upvformatpinicio 62 es_ES
dc.description.upvformatpfin 77 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 14 es_ES
dc.description.issue 1 es_ES
dc.identifier.pmid 33558822 es_ES
dc.identifier.pmcid PMC7859726 es_ES
dc.relation.pasarela S\460637 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
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