A new term weighting scheme for text categorisation
by Fatiha Barigou
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 14, No. 3/4, 2015

Abstract: Recently, the study of term weighting schemes has increasingly attracted the attention of researchers in the field of text categorisation (TC). Unlike information retrieval, TC is a supervised learning task that makes use of the prior information about the distribution of training documents in different predefined categories. This information, being omitted from traditional weighting schemes, is considered very useful and has been widely used for the term selection and building classifiers. This paper aims to study and analyse a new weighting measure to improve performance of a k nearest neighbours (kNN)-based TC.

Online publication date: Fri, 22-Jan-2016

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