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Study of coronavirus impact on parisian population from april to june using Twitter and text Mining Approach

dc.contributor.authorChire Saire, Josimar Edinson
dc.contributor.authorOblitas Cruz, Jimy Frank
dc.date.accessioned2021-06-21T17:30:55Z
dc.date.available2021-06-21T17:30:55Z
dc.date.issued2020-02-10
dc.identifier.citationChire, J. & Oblitas, J. (2020). Study of coronavirus impact on parisian population from april to june using Twitter and text Mining Approach. International Computer Symposium (ICS), 242-246. https://doi.org/10.1109/ICS51289.2020.00056es_PE
dc.identifier.urihttps://hdl.handle.net/11537/26914
dc.description.abstractABSTRACT The fast spreading of coronavirus name covid19, generated the actual pandemic forcing to change daily activities. Health Councils of each country promote health policies, close borders and start a partial or total lockdown. One of the first countries in Europe with high impact was Italy. Besides at the end of April, one country with a shared border was on the top of 10 countries with more total cases, then France started with its own battle to beat coronavirus. This paper studies the impact of coronavirus in the poopulation of Paris, France from April 23 to June 18, using Text Mining approach, processing data collected from Social Network and using trends related of searching. First finding is a decreasing pattern of publications/interest, and second is related to health crisis and economical impact generated by coronavirus.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherIEEEes_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rightsAtribución-NoComercial-CompartirIgual 3.0 Estados Unidos de América*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.sourceUniversidad Privada del Nortees_PE
dc.sourceRepositorio Institucional - UPNes_PE
dc.subjectCovid-19es_PE
dc.subjectPandemiaes_PE
dc.subjectRedes socialeses_PE
dc.subjectImpacto económicoes_PE
dc.subjectFranciaes_PE
dc.titleStudy of coronavirus impact on parisian population from april to june using Twitter and text Mining Approaches_PE
dc.typeinfo:eu-repo/semantics/conferenceObjectes_PE
dc.publisher.countryTWes_PE
dc.identifier.journalInternational Computer Symposium (ICS)es_PE
dc.description.peer-reviewRevisión por pareses_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.11.04es_PE
dc.description.sedeCajamarcaes_PE
dc.identifier.doihttps://doi.org/10.1109/ICS51289.2020.00056


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