AbstractThe aim of this paper is to sketch a potential methodology for automatic text classification which allows text topic discrimination as a prior step to new case assignment to previously established text topics. Such case assignment will be performed by means of Discriminant Function Analysis based on a series of easily-computable linguistic parameters, in order to reduce computational costs.
Copyright (c) 2014 Pascual Cantos Gómez
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