Semiodiscursive analysis of TV newscasts based on data mining and image processing.
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFOP |
Texto Completo: | http://www.repositorio.ufop.br/handle/123456789/10374 |
Resumo: | This work addresses the development of a novel computer-aided methodology for discourse analysis of TV newscasts. A TV newscast constitutes a particular type of discourse and has become a central part of the modern-day lives of millions of people. It is important to understand how this media content works and how it affects human life. To support the study of TV newscasts under the discourse analysis perspective, this work proposes a newscast structure to recover its main units and extract relevant data, named here as newscast discursive metadata (NDM). The NDM describes aspects, such as screen time and field size of newscasts’ participants and themes addressed. Data mining and image analysis methods are used to extract and analyze the NDM of a dataset containing 41 editions of two Brazilian newscasts. The experimental results are promising, demonstrating the effectiveness of the proposed methodology. |
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Conceição, Felipe Leandro AndradePádua, Flávio Luis CardealPereira, Adriano César MachadoAssis, Guilherme Tavares deSilva, Giani DavidAndrade, Antonio Augusto Braighi2018-10-16T13:52:17Z2018-10-16T13:52:17Z2018CONCEIÇÃO, F. L. A. et al. Semiodiscursive analysis of TV newscasts based on data mining and image processing. Acta Scientiarum. Technology, Maringá, v. 39, n. 3, p. 357-365, jul/set., 2017. Disponível em: <http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/29763>. Acesso em: 16 jun. 2018.21785201http://www.repositorio.ufop.br/handle/123456789/10374This work addresses the development of a novel computer-aided methodology for discourse analysis of TV newscasts. A TV newscast constitutes a particular type of discourse and has become a central part of the modern-day lives of millions of people. It is important to understand how this media content works and how it affects human life. To support the study of TV newscasts under the discourse analysis perspective, this work proposes a newscast structure to recover its main units and extract relevant data, named here as newscast discursive metadata (NDM). The NDM describes aspects, such as screen time and field size of newscasts’ participants and themes addressed. Data mining and image analysis methods are used to extract and analyze the NDM of a dataset containing 41 editions of two Brazilian newscasts. The experimental results are promising, demonstrating the effectiveness of the proposed methodology.Este artigo aborda a análise semiodiscursiva de telejornais, baseada em técnicas de mineração de dados e processamento de imagens. Um telejornal constitui um tipo específico de discurso e desempenha papel central no quotidiano de milhões de pessoas. Objetivando-se apoiar o estudo de telejornais, sob a perspectiva da análise do discurso, este trabalho propõe uma estrutura para telejornais que permite recuperar suas principais unidades constituintes e extrair dados para sua análise. Estes dados são denominados neste trabalho de Metadados Discursivos de Telejornais (MDTs). Os MDTs descrevem aspectos como capital visual e plano fílmico dos participantes de telejornais, temáticas abordadas, entre outros. Técnicas de mineração de dados e processamento de imagens são utilizadas para extrair e analisar os MDTs associados a uma base contendo 41 edições de dois telejornais brasileiros. Os resultados experimentais são promissores, e demonstram a eficácia e aplicabilidade da abordagem proposta.Os trabalhos publicados na Acta Scientiarum estão sob uma licença Creative Commons que permite copiar, distribuir, transmitir e adaptar o trabalho, desde que sejam citados o autor e licenciante. Fonte: Acta Scientiarum <http://periodicos.uem.br/ojs/index.php/ActaSciEduc/about/submissions#copyrightNotice>. Acesso em: 14 out. 2016.info:eu-repo/semantics/openAccessJournalismComputingDiscursive metadataAnálise do discursoJornalismoSemiodiscursive analysis of TV newscasts based on data mining and image processing.Análise semiodiscursiva de telejornais, baseada em mineração de dados e processamento de imagens.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOPLICENSElicense.txtlicense.txttext/plain; charset=utf-8924http://www.repositorio.ufop.br/bitstream/123456789/10374/5/license.txt62604f8d955274beb56c80ce1ee5dcaeMD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-849http://www.repositorio.ufop.br/bitstream/123456789/10374/2/license_url4afdbb8c545fd630ea7db775da747b2fMD52license_textlicense_texttext/html; charset=utf-80http://www.repositorio.ufop.br/bitstream/123456789/10374/3/license_textd41d8cd98f00b204e9800998ecf8427eMD53license_rdflicense_rdfapplication/rdf+xml; charset=utf-80http://www.repositorio.ufop.br/bitstream/123456789/10374/4/license_rdfd41d8cd98f00b204e9800998ecf8427eMD54ORIGINALARTIGO_SemiodiscursiveAnalysisTV.pdfARTIGO_SemiodiscursiveAnalysisTV.pdfapplication/pdf1913403http://www.repositorio.ufop.br/bitstream/123456789/10374/1/ARTIGO_SemiodiscursiveAnalysisTV.pdf1b98ccf6e47b9fc1ec6570d7c0048bebMD51123456789/103742018-10-16 09:52:17.331oai:localhost:123456789/10374RGVjbGFyYcOnw6NvIGRlIGRpc3RyaWJ1acOnw6NvIG7Do28tZXhjbHVzaXZhCgpPIHJlZmVyaWRvIGF1dG9yOgoKYSlEZWNsYXJhIHF1ZSBvIGRvY3VtZW50byBlbnRyZWd1ZSDDqSBzZXUgdHJhYmFsaG8gb3JpZ2luYWwgZSBxdWUgZGV0w6ltIG8gZGlyZWl0byBkZSBjb25jZWRlciBvcyBkaXJlaXRvcyBjb250aWRvcyBuZXN0YSBsaWNlbsOnYS4gRGVjbGFyYSB0YW1iw6ltIHF1ZSBhIGVudHJlZ2EgZG8gZG9jdW1lbnRvIG7Do28gaW5mcmluZ2UsIHRhbnRvIHF1YW50byBsaGUgw6kgcG9zc8OtdmVsIHNhYmVyLCBvcyBkaXJlaXRvcyBkZSBxdWFscXVlciBwZXNzb2Egb3UgZW50aWRhZGUuCgpiKVNlIG8gZG9jdW1lbnRvIGVudHJlZ3VlIGNvbnTDqW0gbWF0ZXJpYWwgZG8gcXVhbCBuw6NvIGRldMOpbSBvcyBkaXJlaXRvcyBkZSBhdXRvciwgZGVjbGFyYSBxdWUgb2J0ZXZlIGF1dG9yaXphw6fDo28gZG8gZGV0ZW50b3IgZG9zIGRpcmVpdG9zIGRlIGF1dG9yIHBhcmEgY29uY2VkZXIgw6AgVW5pdmVyc2lkYWRlIEZlZGVyYWwgZGUgT3VybyBQcmV0by9VRk9QIG9zIGRpcmVpdG9zIHJlcXVlcmlkb3MgcG9yIGVzdGEgbGljZW7Dp2EgZSBxdWUgZXNzZSBtYXRlcmlhbCwgY3Vqb3MgZGlyZWl0b3Mgc8OjbyBkZSB0ZXJjZWlyb3MsIGVzdMOhIGNsYXJhbWVudGUgaWRlbnRpZmljYWRvIGUgcmVjb25oZWNpZG8gbm8gdGV4dG8gb3UgY29udGXDumRvcyBkbyBkb2N1bWVudG8gZW50cmVndWUuCgpjKVNlIG8gZG9jdW1lbnRvIGVudHJlZ3VlIMOpIGJhc2VhZG8gZW0gdHJhYmFsaG8gZmluYW5jaWFkbyBvdSBhcG9pYWRvIHBvciBvdXRyYSBpbnN0aXR1acOnw6NvIHF1ZSBuw6NvIGEgVUZPUCwgZGVjbGFyYSBxdWUgY3VtcHJpdSBxdWFpc3F1ZXIgb2JyaWdhw6fDtWVzIGV4aWdpZGFzIHBlbG8gY29udHJhdG8gb3UgYWNvcmRvLgoKRepositório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332018-10-16T13:52:17Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false |
dc.title.pt_BR.fl_str_mv |
Semiodiscursive analysis of TV newscasts based on data mining and image processing. |
dc.title.alternative.pt_BR.fl_str_mv |
Análise semiodiscursiva de telejornais, baseada em mineração de dados e processamento de imagens. |
title |
Semiodiscursive analysis of TV newscasts based on data mining and image processing. |
spellingShingle |
Semiodiscursive analysis of TV newscasts based on data mining and image processing. Conceição, Felipe Leandro Andrade Journalism Computing Discursive metadata Análise do discurso Jornalismo |
title_short |
Semiodiscursive analysis of TV newscasts based on data mining and image processing. |
title_full |
Semiodiscursive analysis of TV newscasts based on data mining and image processing. |
title_fullStr |
Semiodiscursive analysis of TV newscasts based on data mining and image processing. |
title_full_unstemmed |
Semiodiscursive analysis of TV newscasts based on data mining and image processing. |
title_sort |
Semiodiscursive analysis of TV newscasts based on data mining and image processing. |
author |
Conceição, Felipe Leandro Andrade |
author_facet |
Conceição, Felipe Leandro Andrade Pádua, Flávio Luis Cardeal Pereira, Adriano César Machado Assis, Guilherme Tavares de Silva, Giani David Andrade, Antonio Augusto Braighi |
author_role |
author |
author2 |
Pádua, Flávio Luis Cardeal Pereira, Adriano César Machado Assis, Guilherme Tavares de Silva, Giani David Andrade, Antonio Augusto Braighi |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Conceição, Felipe Leandro Andrade Pádua, Flávio Luis Cardeal Pereira, Adriano César Machado Assis, Guilherme Tavares de Silva, Giani David Andrade, Antonio Augusto Braighi |
dc.subject.por.fl_str_mv |
Journalism Computing Discursive metadata Análise do discurso Jornalismo |
topic |
Journalism Computing Discursive metadata Análise do discurso Jornalismo |
description |
This work addresses the development of a novel computer-aided methodology for discourse analysis of TV newscasts. A TV newscast constitutes a particular type of discourse and has become a central part of the modern-day lives of millions of people. It is important to understand how this media content works and how it affects human life. To support the study of TV newscasts under the discourse analysis perspective, this work proposes a newscast structure to recover its main units and extract relevant data, named here as newscast discursive metadata (NDM). The NDM describes aspects, such as screen time and field size of newscasts’ participants and themes addressed. Data mining and image analysis methods are used to extract and analyze the NDM of a dataset containing 41 editions of two Brazilian newscasts. The experimental results are promising, demonstrating the effectiveness of the proposed methodology. |
publishDate |
2018 |
dc.date.accessioned.fl_str_mv |
2018-10-16T13:52:17Z |
dc.date.available.fl_str_mv |
2018-10-16T13:52:17Z |
dc.date.issued.fl_str_mv |
2018 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
CONCEIÇÃO, F. L. A. et al. Semiodiscursive analysis of TV newscasts based on data mining and image processing. Acta Scientiarum. Technology, Maringá, v. 39, n. 3, p. 357-365, jul/set., 2017. Disponível em: <http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/29763>. Acesso em: 16 jun. 2018. |
dc.identifier.uri.fl_str_mv |
http://www.repositorio.ufop.br/handle/123456789/10374 |
dc.identifier.issn.none.fl_str_mv |
21785201 |
identifier_str_mv |
CONCEIÇÃO, F. L. A. et al. Semiodiscursive analysis of TV newscasts based on data mining and image processing. Acta Scientiarum. Technology, Maringá, v. 39, n. 3, p. 357-365, jul/set., 2017. Disponível em: <http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/29763>. Acesso em: 16 jun. 2018. 21785201 |
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http://www.repositorio.ufop.br/handle/123456789/10374 |
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eng |
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