Document Vector Space Representation Model for Automatic Text Classification
نویسندگان
چکیده
Classification of text documents presents a unique challenge to conventional classification algorithms. Due to the existence of large number of features in the datasets, providing a desired representation for text documents can be seen as another problem. In this paper a simple but effective representation model for text documents to tackle the classification problem is discussed. Two different classification approaches are also developed based on the proposed representation model. The experiments are carried out on the publically available corpuses and reveals efficiency of the proposed method.
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