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dc.contributor.author | PANICHEVA, POLINA | es_ES |
dc.contributor.author | Cardiff, John | es_ES |
dc.contributor.author | Rosso, Paolo | es_ES |
dc.date.accessioned | 2014-07-23T07:44:03Z | |
dc.date.issued | 2013-07 | |
dc.identifier.issn | 1532-2882 | |
dc.identifier.uri | http://hdl.handle.net/10251/38971 | |
dc.description | This is the accepted version of the following article: Panicheva, P.; Cardiff, J.; Rosso, P. (2013). Identifying subjective statements in news titles using a personal sense annotation framework. Journal of the American Society for Information Science and Technology. 64(7):1411-1422 , which has been published in final form at http://dx.doi.org/10.1002/asi.22841. | es_ES |
dc.description.abstract | [EN] Subjective language contains information about private states. The goal of subjective language identification is to determine that a private state is expressed, without considering its polarity or specific emotion. A component of word meaning, "Personal Sense," has clear potential in the field of subjective language identification, as it reflects a meaning of words in terms of unique personal experience and carries personal characteristics. In this paper we investigate how Personal Sense can be harnessed for the purpose of identifying subjectivity in news titles. In the process, we develop a new Personal Sense annotation framework for annotating and classifying subjectivity, polarity, and emotion. The Personal Sense framework yields high performance in a fine-grained subsentence subjectivity classification. Our experiments demonstrate lexico-syntactic features to be useful for the identification of subjectivity indicators and the targets that receive the subjective Personal Sense. | es_ES |
dc.description.sponsorship | The work of Paolo Rosso was done within the EC WIQEI IRSES project (grant no. 269180) FP 7 Marie Curie People Framework, the MICINN Text-Enterprise 2.0 project (TIN2009-13391-C04-03) Plan I+D+I, and the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems. We are grateful to the anonymous reviewers for helpful comments. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Association for Information Science and Technology (ASIS&T) | es_ES |
dc.relation.ispartof | Journal of the American Society for Information Science and Technology | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Natural language processing | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Identifying subjective statements in news titles using a personal sense annotation framework | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1002/asi.22841 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/269180/EU/Web Information Quality Evaluation Initiative/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2009-13391-C04-03/ES/Text-Enterprise 2.0: Tecnicas De Comprension De Textos Aplicadas A Las Necesidades De La Empresa 2.0/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.description.bibliographicCitation | Panicheva, P.; Cardiff, J.; Rosso, P. (2013). Identifying subjective statements in news titles using a personal sense annotation framework. Journal of the American Society for Information Science and Technology. 64(7):1411-1422. https://doi.org/10.1002/asi.22841 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1002/asi.22841 | es_ES |
dc.description.upvformatpinicio | 1411 | es_ES |
dc.description.upvformatpfin | 1422 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 64 | es_ES |
dc.description.issue | 7 | es_ES |
dc.relation.senia | 255784 | |
dc.contributor.funder | European Commission | |
dc.contributor.funder | Ministerio de Ciencia e Innovación |