Effects of term weighting approach with and without stop words removing on Arabic text classification

arXiv:2402.14867v1 Announce Type: cross
Abstract: Classifying text is a method for categorizing documents into pre-established groups. Text documents must be prepared and represented in a way that is appropriate for the algorithms used for data mining prior to classification. As a result, a number of term weighting strategies have been created in the literature to enhance text categorization algorithms' functionality. This study compares the effects of Binary and Term frequency weighting feature methodologies on the text's classification method when stop …

abstract algorithms arabic arxiv classification cs.ai cs.cl cs.lg data data mining documents effects mining prior text text classification type words