A REVIEW OF MULTI-LABEL TEXT CATEGORIZATION USING CLASSIFICATION AND CLUSTERING TECHNIQUE

PUNEET NEMA, VIVEK SHARMA

Abstract


The increasing rate of data diversity in current decade faced a problem of data categorization. Data categorization used a classification technique such as KNN, decision tree and support vector machine. The process of classification depends on the similarity of features. The dependency of feature bound the limitation of accuracy of classifier. The process of classification mapped data into labels and labels categorized in the different predefined class for the classification purpose. In this paper present the review of classification and clustering technique for multi-label text categorization.

Keywords


Data Mining, Text categorization, classification and clustering.

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References


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