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| Format: | Artículo científico |
| Language: | en |
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Pontifícia Universidade Católica de Campinas
2017
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| Online Access: | https://www.redalyc.org/articulo.oa?id=384357586003 https://www.redalyc.org/journal/3843/384357586003/ https://www.redalyc.org/journal/3843/384357586003/html/ https://www.redalyc.org/journal/3843/384357586003/384357586003.epub https://www.redalyc.org/journal/3843/384357586003/movil |
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Table of Contents:
- Automatic classification of journalistic documents on the Internet Elias Oliveira Delermando Branquinho Ciencias de la Información Internet Vector model Automatic classification Online journalism is increasing every day. There are many news agencies, newspapers, and magazines using digital publication in the global network. Documents published online are available to users, who use search engines to find them. In order to deliver documents that are relevant to the search, they must be indexed and classified. Due to the vast number of documents published online every day, a lot of research has been carried out to find ways to facilitate automatic document classification. The objective of the present study is to describe an experimental approach for the automatic classification of journalistic documents published on the Internet using the Vector Space Model for document representation. The model was tested based on a real journalism database, using algorithms that have been widely reported in the literature. This article also describes the metrics used to assess the performance of these algorithms and their required configurations. The results obtained show the efficiency of the method used and justify further research to find ways to facilitate the automatic classification of documents. 2017 artículo científico 0103-3786 https://www.redalyc.org/articulo.oa?id=384357586003 https://www.redalyc.org/journal/3843/384357586003/ https://www.redalyc.org/journal/3843/384357586003/html/ https://www.redalyc.org/journal/3843/384357586003/384357586003.epub https://www.redalyc.org/journal/3843/384357586003/movil 10.1590/2318-08892017000300003 en http://www.redalyc.org/revista.oa?id=3843 Transinformação application/pdf Pontifícia Universidade Católica de Campinas Transinformação (Brasil) Num.3 Vol.29