Feature engineering for MEDLINE citation categorization with MeSH

Background Research in biomedical text categorization has mostly used the bag-of-words representation. Other more sophisticated representations of text based on syntactic, semantic and argumentative properties have been less studied. In this paper, we evaluate the impact of different text representa...

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Veröffentlicht in:	BMC bioinformatics Jg. 16; H. 1; S. 113
Hauptverfasser:	Jimeno Yepes, Antonio Jose, Plaza, Laura, Carrillo-de-Albornoz, Jorge, Mork, James G, Aronson, Alan R
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 08.04.2015 BioMed Central Ltd
Schlagworte:	Abstracting and Indexing as Topic - methods Algorithms Analysis Artificial Intelligence Bioinformatics Biomedical and Life Sciences Comparative analysis Computational Biology/Bioinformatics Computer Appl. in Life Sciences Data mining Humans Information Storage and Retrieval Knowledge-based analysis Life Sciences Medical Subject Headings MEDLINE Microarrays Research Article Semantics MeSH indexing Text categorization Feature engineering Biomedical literature
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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