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dc.contributor.authorSalcedo, Dennis
dc.contributor.authorLeon, Alejandro
dc.date.accessioned2019-08-02T21:56:29Z
dc.date.available2019-08-02T21:56:29Z
dc.identifier.issn1613-0073spa
dc.identifier.urihttp://hdl.handle.net/20.500.12495/1588
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherSIMBigspa
dc.relation.ispartofseriesCEUR Workshop Proceedings, 1613-0073, Vol.1478, 2nd Annual International Symposium on Information Management and Big Data, 2015 p. 83-84spa
dc.relation.urihttps://www.semanticscholar.org/paper/Behavior-of-Symptoms-on-Twitter-Salcedo-Le%C3%B3n/62f2305b9f261cd4f6f62c71f4963091dc3cf9acspa
dc.titleBehavior of symptoms on twitterspa
dc.typearticlespa
dc.type.localartículospa
dc.subject.keywordsInformation managementspa
dc.subject.keywordsSocial networking (online)spa
dc.subject.keywordsLevenshtein distancespa
dc.subject.armarcRedes sociales en líneaspa
dc.subject.armarcBig dataspa
dc.subject.armarcProcesamiento de la informaciónspa
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.publisher.journalCEUR Workshop Proceedingsspa
dc.identifier.instnameinstname:Universidad El Bosquespa
dc.identifier.reponamereponame: Repositorio Institucional Universidad El Bosquespa
dc.identifier.repourlrepourl:https://repositorio.unbosque.edu.cospa
dc.description.abstractenglishWith the amount of data available on social networks, new methodologies for the analysis of information are needed. Some methods allow the users to combine different types of data in order to extract relevant information. In this context, the present paper shows the application of a model via a platform in order to group together information generated by Twitter users, thus facilitating the detection of trends and data related to particular symptoms. In order to implement the model, an analyzing tool that uses the Levenshtein distance was developed, to determine exactly what is required to convert a text into the following texts: ’gripa’-”flu”, ”dolor de cabeza”-”headache”, ’dolor de estomago’- ”stomachache”, ’fiebre’-”fever” and ’tos’- ”cough” in the area of Bogota. Among the ´ information collected, identifiable patterns emerged for each one of the texts.spa
dc.rights.localAcceso cerradospa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf308spa
dc.date.issued2015


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