A document classification framework for efficient retrieval

ISSN: 22498958
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Document classification has become an evolving field of exploration with the significant rise in the volume of computerized information. Weighting of a term is an elementary research issue in document classification. Several alternatives to the traditional techniques to weight a term like TF_IDF have been proposed by the researchers. This paper introduces a novel method to weight a term by calculating the semantic similarity between the category label and the term. Also the proposed term weighting technique includes the co-occurrence relation between the terms. Experiments were carried on the 20 Newsgroups and Reuters_21578 benchmark datasets. The results obtained infer that the proposed method outperforms the other weighting methods using various classifiers.

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Qazi, A., & Goudar, R. H. (2019). A document classification framework for efficient retrieval. International Journal of Engineering and Advanced Technology, 8(5), 2592–2597.

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