The structural and content aspects of abstracts versus bodies of full text journal articles are different

Background An increase in work on the full text of journal articles and the growth of PubMedCentral have the opportunity to create a major paradigm shift in how biomedical text mining is done. However, until now there has been no comprehensive characterization of how the bodies of full text journal...

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Veröffentlicht in:	BMC bioinformatics Jg. 11; H. 1; S. 492
Hauptverfasser:	Cohen, K Bretonnel, Johnson, Helen L, Verspoor, Karin, Roeder, Christophe, Hunter, Lawrence E
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 29.09.2010 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Abstracting and Indexing as Topic - methods Abstracts Algorithms Analysis Bioinformatics Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences Data mining Full text databases Genetic research Information management Information Storage and Retrieval - methods Life Sciences MEDLINE Microarrays Natural Language Processing Networks analysis Periodicals as Topic Research Article Terminology as Topic Sentence Length Sentence Complexity Semantic Classis Text Mining Gene Mention
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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