dc.creator | Franco Salvador, Marc | es |
dc.creator | Cruz Mata, Fermín | es |
dc.creator | Troyano Jiménez, José Antonio | es |
dc.creator | Rosso, Paolo | es |
dc.date.accessioned | 2020-07-18T07:36:18Z | |
dc.date.available | 2020-07-18T07:36:18Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Franco Salvador, M., Cruz Mata, F., Troyano Jiménez, J.A. y Rosso, P. (2015). Cross-domain polarity classification using a knowledge-enhanced meta-classifier. Knowledge-Based Systems, 86 (september 2015), 45-56. | |
dc.identifier.issn | 0950-7051 | es |
dc.identifier.uri | https://hdl.handle.net/11441/99638 | |
dc.description.abstract | Current approaches to single and cross-domain polarity classification usually use bag of words, n-grams
or lexical resource-based classifiers. In this paper, we propose the use of meta-learning to combine and
enrich those approaches by adding also other knowledge-based features. In addition to the aforementioned
classical approaches, our system uses the BabelNet multilingual semantic network to generate features
derived from word sense disambiguation and vocabulary expansion. Experimental results show
state-of-the-art performance on single and cross-domain polarity classification. Contrary to other
approaches, ours is generic. These results were obtained without any domain adaptation technique.
Moreover, the use of meta-learning allows our approach to obtain the most stable results across domains.
Finally, our empirical analysis provides interesting insights on the use of semantic network-based
features. | es |
dc.description.sponsorship | European Comission WIQ-EI IRSES (No. 269180) | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2012-38603-C02-01 | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2012-38536-C03-02 | es |
dc.description.sponsorship | Junta de Andalucía P11-TIC-7684 MO | es |
dc.format | application/pdf | es |
dc.format.extent | 11 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Knowledge-Based Systems, 86 (september 2015), 45-56. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Sentiment analysis | es |
dc.subject | Cross-domain polarity classification | es |
dc.subject | Meta-learning | es |
dc.subject | Word sense disambiguation | es |
dc.subject | Semantic network | es |
dc.title | Cross-domain polarity classification using a knowledge-enhanced meta-classifier | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | WIQ-EI IRSES (No. 269180) | es |
dc.relation.projectID | TIN2012-38603-C02-01 | es |
dc.relation.projectID | TIN2012-38536-C03-02 | es |
dc.relation.projectID | P11-TIC-7684 MO | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/abs/pii/S0950705115002063 | es |
dc.identifier.doi | 10.1016/j.knosys.2015.05.020 | es |
dc.journaltitle | Knowledge-Based Systems | es |
dc.publication.volumen | 86 | es |
dc.publication.issue | september 2015 | es |
dc.publication.initialPage | 45 | es |
dc.publication.endPage | 56 | es |
dc.identifier.sisius | 20947066 | es |
dc.contributor.funder | European Commission (EC) | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |
dc.contributor.funder | Junta de Andalucía | es |