The Impact of Pre-processing on the Classification of MEDLINE Documents

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

goncalves, ca (Autor) Outra; goncalves, ct (Autor) Outra; camacho, r (Autor) FEUP; oliveira, e (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings of the 10th International Workshop on Pattern Recognition in Information Systems, PRIS 2010, in Conjunction with ICEIS 2010

Páginas: 53-61

Pattern Recognition in Information Systems, Proceedings of the 10th International Workshop on Pattern Recognition in Information Systems, PRIS 2010, In conjunction with ICEIS 2010, Funchal, Madeira, Portugal, June 2010

Indexação

ISI Web of Knowledge - 12 Citações

Scopus - 22 Citações

Outras Informações

ID Authenticus: P-007-WB1

Abstract (EN): The amount of information available in the MEDLINE database makes it very hard for a researcher to retrieve a reasonable amount of relevant documents using a simple query language interface. Automatic Classification of documents may be a valuable technology to help reducing the amount of documents retrieved for each query. To accomplish this process it is of capital importance to use appropriate pre-processing techniques on the data. The main goal of this study is to analyse the impact of pre-processing techniques in text Classification of MEDLINE documents. We have assessed the effect of combining different pre-processing techniques together with several classification algorithms available in the WEKA tool. Our experiments show that the application of pruning, stemming and WordNet reduces significantly the number of attributes and improves the accuracy of the results.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9