Fixing and evaluating texts: Mixed text reconstruction method for data fusion environments

Título

dc.contributor.author	Sánchez Martín, Antonio Juan
dc.contributor.author	Prieta Pintado, Fernando de la
dc.contributor.author	De Gasperis, Giovani
dc.date.accessioned	2017-09-06T09:16:51Z
dc.date.available	2017-09-06T09:16:51Z
dc.date.issued	2014-10
dc.identifier.citation	7th International Conference on Information Fusion (FUSION), 2014. pp. 1 - 6.
dc.identifier.isbn	978-84-9012-355-3
dc.identifier.uri	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6916278&searchWithin%3Dprieta%26sortType %3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6915967%29
dc.identifier.uri	http://hdl.handle.net/10366/135132
dc.description.abstract	This paper presents a method for the reconstruction of malformed texts into Spanish, these texts can be found regularly in social media environments. Also a method of sentiment analysis based on analysis of pairs will be presented. This sentiment analysis method includes intensifiers and applies the same procedures for analyse words, phrases and paragraphs. The method is centred on Spanish but the solutions proposed can be extended to any language.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	IEEE Xplore
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	Fixing and evaluating texts: Mixed text reconstruction method for data fusion environments
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess