Conception Perez de Celis

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To obtain reliable information extraction applications has been one of the main goals of the biomedical text mining community. These applications are valuable tools to biologists in their increasingly difficult task of assimilating the knowledge contained in biomedical literature. This paper presents a novel algorithm for automatic classification of(More)
This research focuses on analyzing and classifying biomedical articles in the field of neuroscience, with a particular emphasis on scientific articles related to hearing loss. To carry out this task in a more efficient manner, resources as the elimination of stopwords were used. As well, it was implemented the n-gram-based text categorization system along(More)
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