dc.creator | Cruz Mata, Fermín | es |
dc.creator | Troyano Jiménez, José Antonio | es |
dc.creator | Pontes Balanza, Beatriz | es |
dc.creator | Ortega Rodríguez, Francisco Javier | es |
dc.date.accessioned | 2020-07-16T08:01:53Z | |
dc.date.available | 2020-07-16T08:01:53Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Cruz Mata, F., Troyano Jiménez, J.A., Pontes Balanza, B. y Ortega Rodríguez, F.J. (2014). Building layered, multilingual sentiment lexicons at synset and lemma levels. Expert Systems with Applications, 41 (13), 5984-5994. | |
dc.identifier.issn | 0957-4174 | es |
dc.identifier.uri | https://hdl.handle.net/11441/99521 | |
dc.description.abstract | Many tasks related to sentiment analysis rely on sentiment lexicons, lexical resources containing
information about the emotional implications of words (e.g., sentiment orientation of words, positive
or negative). In this work, we present an automatic method for building lemma-level sentiment lexicons,
which has been applied to obtain lexicons for English, Spanish and other three official languages in Spain.
Our lexicons are multi-layered, allowing applications to trade off between the amount of available words
and the accuracy of the estimations. Our evaluations show high accuracy values in all cases. As a previous
step to the lemma-level lexicons, we have built a synset-level lexicon for English similar to SENTIWORDNET
3.0, one of the most used sentiment lexicons nowadays. We have made several improvements in the
original SENTIWORDNET 3.0 building method, reflecting significantly better estimations of positivity and
negativity, according to our evaluations. The resource containing all the lexicons, ML-SENTICON, is publicly
available. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2012-38536-C03-02 | es |
dc.format | application/pdf | es |
dc.format.extent | 11 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Expert Systems with Applications, 41 (13), 5984-5994. | |
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 | Multilingual sentiment lexicons | es |
dc.subject | Spanish resources for sentiment analysis | es |
dc.title | Building layered, multilingual sentiment lexicons at synset and lemma levels | 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 | TIN2012-38536-C03-02 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/abs/pii/S0957417414001997 | es |
dc.identifier.doi | 10.1016/j.eswa.2014.04.005 | es |
dc.journaltitle | Expert Systems with Applications | es |
dc.publication.volumen | 41 | es |
dc.publication.issue | 13 | es |
dc.publication.initialPage | 5984 | es |
dc.publication.endPage | 5994 | es |
dc.identifier.sisius | 20706168 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |