Semiodiscursive analysis of TV newscasts based on data mining and image processing
Fuente:
Redalyc
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Universidade Estadual de Maringá
2017
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1876437479334084608 |
|---|---|
| author | Felipe Leandro Andrade Conceição |
| author_facet | Felipe Leandro Andrade Conceição |
| contents | Semiodiscursive analysis of TV newscasts based on data mining and image processing Felipe Leandro Andrade Conceição Flávio Luis Cardeal Pádua Adriano César Machado Pereira Guilherme Tavares de Assis Giani David Silva Antonio Augusto Braighi Andrade Ingeniería computing Journalism discourse analysis discursi ve metadata 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 me tadata (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. 2017 artículo científico 1806-2563 https://www.redalyc.org/articulo.oa?id=303252892013 https://www.redalyc.org/journal/3032/303252892013/ https://www.redalyc.org/journal/3032/303252892013/html/ https://www.redalyc.org/journal/3032/303252892013/303252892013.epub https://www.redalyc.org/journal/3032/303252892013/movil en http://www.redalyc.org/revista.oa?id=3032 Acta Scientiarum. Technology application/pdf Universidade Estadual de Maringá Acta Scientiarum. Technology (Brasil) Num.3 Vol.39 |
| format | Artículo científico |
| id | redalyc_303252892013 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Universidade Estadual de Maringá |
| spellingShingle | Semiodiscursive analysis of TV newscasts based on data mining and image processing Felipe Leandro Andrade Conceição Ingeniería computing Journalism discourse analysis discursi ve metadata Semiodiscursive analysis of TV newscasts based on data mining and image processing Felipe Leandro Andrade Conceição Flávio Luis Cardeal Pádua Adriano César Machado Pereira Guilherme Tavares de Assis Giani David Silva Antonio Augusto Braighi Andrade Ingeniería computing Journalism discourse analysis discursi ve metadata 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 me tadata (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. 2017 artículo científico 1806-2563 https://www.redalyc.org/articulo.oa?id=303252892013 https://www.redalyc.org/journal/3032/303252892013/ https://www.redalyc.org/journal/3032/303252892013/html/ https://www.redalyc.org/journal/3032/303252892013/303252892013.epub https://www.redalyc.org/journal/3032/303252892013/movil en http://www.redalyc.org/revista.oa?id=3032 Acta Scientiarum. Technology application/pdf Universidade Estadual de Maringá Acta Scientiarum. Technology (Brasil) Num.3 Vol.39 |
| title | Semiodiscursive analysis of TV newscasts based on data mining and image processing |
| topic | Ingeniería computing Journalism discourse analysis discursi ve metadata |
| url | https://www.redalyc.org/articulo.oa?id=303252892013 https://www.redalyc.org/journal/3032/303252892013/ https://www.redalyc.org/journal/3032/303252892013/html/ https://www.redalyc.org/journal/3032/303252892013/303252892013.epub https://www.redalyc.org/journal/3032/303252892013/movil |