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Author Identification using SVM and Naive Bayes Techniques
, Tejaswi Pisal, Arati Nagawade, Shraddha Shah, Rutuja Kakade
Published in IJRAR Publication
Volume: 7.0
Issue: 1.0
Pages: 645.0 - 647.0
With increasing use of social media, cybercrime cases are happening rapidly. Social crises may occur due to wrong messages/posts. Identities of wrong messages/post are hidden by sender. An approach to intelligent author categorization has been proposed using a Naive Bayes and SVM classification algorithm. The categorization is based on not only the body but also the header of a text or article. The metadata provide additional information that can be exploited and improve the categorization capability. In particular, categorization based only on the header information is comparable or superior to that based on all the information in a text or message. SVM works on features and we will work on new features to identify author where as Naive Bayes is used for classification
About the journal
JournalInternational Journal of Research and Analytical Reviews
PublisherIJRAR Publication
Open Access0