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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Evaluation and NLP
verfasst von : Didier Nakache, Elisabeth Metais, Jean François Timsit
Erschienen in: Database and Expert Systems Applications
Verlag: Springer Berlin Heidelberg
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F-measure is an indicator which has been commonly used for 25 years to evaluate classification algorithms in textmining, based on precision and recall. For classification and information retrieval, some prefer to use the break even point. Nevertheless, these measures have some inconvenient: they use a binary logic and don’t allow to apply a user (judge) assessment. This paper proposes a new approach for evaluation. First, we distinguish classification and categorization from a semantic point of view. Then, we introduce a new measure: the K-measure, which is an overall of F-measure, and allows to apply user requirements. Finally, we propose a methodology for evaluation.