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Identifying subjective statements in news titles using a personal sense annotation framework

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Identifying subjective statements in news titles using a personal sense annotation framework

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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. doi:10.1002/asi.22841

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/38971

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Title: Identifying subjective statements in news titles using a personal sense annotation framework
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
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 ...[+]
Subjects: Natural language processing
Copyrigths: Reserva de todos los derechos
Source:
Journal of the American Society for Information Science and Technology. (issn: 1532-2882 )
DOI: 10.1002/asi.22841
Publisher:
Association for Information Science and Technology (ASIS&T)
Publisher version: http://dx.doi.org/10.1002/asi.22841
Project ID: info:eu-repo/grantAgreement/EC/FP7/269180
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.
Thanks:
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 ...[+]
Type: Artículo

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