Survey on Text Classification (Spam) Using Machine Learning

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Provided by: Creative Commons
Topic: Security
Format: PDF
E-mail spam is a very serious problem in today's life. It has many consequences like it causes lower productivity, occupy space in mail boxes, extend viruses, Trojans, and materials containing potentially harmful information for a certain category of users, destroy stability of mail servers, and as a result users spend a lot of time for sorting incoming mail and deleting undesirable correspondence. There are various classifiers used for e-mail spam detection like Naive Bayes classifier, KNN classifiers etc. The authors will use SVM classifier for e-mail spam detection which has not been used till now for detecting e-mail spam.
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