Text Catagorization Using Hybrid Na�ve Bayes Algorithm

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Kshitija Deshmukh, Jaya Bhargaw, Shweta


Automated Text categorization and class prediction is important for text categorization to reduce the feature size and to speed up the learning process of classifiers .Text classification is a growing interest in the research of text mining. Correctly identifying the Text into particular category is still presenting challenge because of large and vast amount of features in the dataset. In regards to the present classifying approaches, Na�ve Bayes is probably smart at serving as a document classification model thanks to its simplicity. The aim of this Project is to spotlight the performance of Text categorization and sophistication prediction Na�ve Bayes in Text classification.

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, K. D. J. B. S. . (2018). Text Catagorization Using Hybrid Na�ve Bayes Algorithm. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(1), 05–08. Retrieved from https://ijfrcsce.org/index.php/ijfrcsce/article/view/955