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Web Service SWePT: A Hybrid Opinion Mining Approach

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Web Service SWePT: A Hybrid Opinion Mining Approach

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Baca-Gomez, YR.; Martínez, A.; Rosso, P.; Estrada Esquivel, H.; Hernandez-Farias, DI. (2016). Web Service SWePT: A Hybrid Opinion Mining Approach. Journal of Universal Computer Science. 22(5):671-690. doi:10.3217/jucs-022-05-0671

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/82628

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Title: Web Service SWePT: A Hybrid Opinion Mining Approach
Author:
Director(s): This work has been partially supported by the Sectorial Fund CONACyT-INEGI: Project with ref. 208471, INFOTEC, Mexico. And, also by the project CNDT-PYR2015-0016, CENIDET, Mexico. The work of the third author was in the framework of the SomEMBED MINECO TIN2015-71147-C2-1-P research project. The National Council for Science and Technology (CONACyT Mexico) has funded the research work of Delia Irazu Hernandez Farias (Grant No. 218109/313683 CVU-369616).
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Issued date:
Abstract:
[EN] The increasing use of social networks and online sites where people can express their opinions has created a growing interest in Opinion Mining. One of the main tasks of Opinion Mining is to determine whether an ...[+]
Subjects: Opinion mining , Affective lexicon , Hybrid approach , Web service
Copyrigths: Reserva de todos los derechos
Source:
Journal of Universal Computer Science. (issn: 0948-6968 )
DOI: 10.3217/jucs-022-05-0671
Publisher:
Graz University of Technology, Institut für Information systems und Computer Medien (IICM)
Publisher version: http://doi.org/10.3217/jucs-022-05-0671
Thanks:
This work has been partially supported by the Sectorial Fund CONACyT-INEGI: Project with ref. 208471, INFOTEC, Mexico. And, also by the project CNDT-PYR2015-0016, CENIDET, Mexico. The work of the third author was in the ...[+]
Type: Artículo

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