Mineração de mídias sociais como ferramenta para a análise de tríade da persona virtual

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dc.contributor.advisorCastro, Leandro Nunes de
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/2741458816539568por
dc.contributor.authorLima, Ana Carolina Espírito Santo
dc.creator.Latteshttp://lattes.cnpq.br/9312257871710056por
dc.date.accessioned2017-04-19T14:00:48Z
dc.date.accessioned2020-05-28T18:07:59Z
dc.date.available2020-05-28T18:07:59Z
dc.date.issued2016-12-07
dc.description.abstractUnderstanding the human being is a continuous work of perception and inference about how he/she interacts and responds to various environmental stimuli in which he/she is inserted. Each person behaves based on how he/she sees and reacts to the world. However, the Internet has created an environment in which behaviors are also expressed and social media constantly stimulate the creation of social ties and the sharing of information. Identifying and mapping patterns from this data opens up opportunities to understand what is the persona that one wants to express within such environment, leading to what was named here the virtual persona. Therefore, data mining techniques are powerful tools for data exploration and analysis, making it possible to develop a computing infrastructure that allows to infer psychological aspects of the virtual persona. All this technical and computational framework for social media data analysis makes up the social media mining field of research. Motivated by this perspective, this thesis proposes computational frameworks to analyze three aspects of the virtual persona: sentiment; temperament; and personality. As a result, it was developed the Virtual Persona Triad, composed of frameworks for sentiment analysis, temperament prediction and personality identification. We assessed various techniques to represent text and classification algorithms, analyzed via social media mining methods capable of providing the desired inferences about the Triad. The results show a higher predictive ability for the category dictionaries combined with ensembles of classifiers.eng
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superiorpor
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológicopor
dc.description.sponsorshipFundação de Amparo a Pesquisa do Estado de São Paulopor
dc.description.sponsorshipFundo Mackenzie de Pesquisapor
dc.formatapplication/pdf*
dc.identifier.citationLIMA, Ana Carolina Espírito Santo. Mineração de mídias sociais como ferramenta para a análise de tríade da persona virtual. 2016. 199 f. Tese (Engenharia Elétrica) - Universidade Presbiteriana Mackenzie, São Paulo .por
dc.identifier.urihttp://dspace.mackenzie.br/handle/10899/24272
dc.keywordsdata miningeng
dc.keywordssocial media miningeng
dc.keywordssocial behavioreng
dc.keywordsvirtual personaeng
dc.keywordspersonalityeng
dc.keywordstemperamenteng
dc.languageporpor
dc.publisherUniversidade Presbiteriana Mackenziepor
dc.rightsAcesso Abertopor
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectmineração de dadospor
dc.subjectmineração de mídias sociaispor
dc.subjectcomportamento socialpor
dc.subjectpersona virtualpor
dc.subjectpersonalidadepor
dc.subjecttemperamentopor
dc.subject.cnpqCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOpor
dc.thumbnail.urlhttp://tede.mackenzie.br/jspui/retrieve/14044/ANA%20CAROLINA%20ESPIRITO%20SANTO%20LIMA.pdf.jpg*
dc.titleMineração de mídias sociais como ferramenta para a análise de tríade da persona virtualpor
dc.typeTesepor
local.contributor.board1Bianchini, Calebe de Paula
local.contributor.board1Latteshttp://lattes.cnpq.br/4570923990252346por
local.contributor.board2Silva, Leandro Augusto da
local.contributor.board2Latteshttp://lattes.cnpq.br/1396385111251741por
local.contributor.board3Maia, Renato Dourado
local.contributor.board3Latteshttp://lattes.cnpq.br/8086728723088063por
local.contributor.board4França, Fabrício Olivetti de
local.contributor.board4Latteshttp://lattes.cnpq.br/8788356220698686por
local.publisher.countryBrasilpor
local.publisher.departmentEscola de Engenharia Mackenzie (EE)por
local.publisher.initialsUPMpor
local.publisher.programEngenharia Elétricapor
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Engenharia Elétrica e Computação - Teses - EE Higienópolis