"SPAM DETECTION USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING."

"Nowadays communication plays a major role in everything be it professionalor personal. Email communication service is being used extensively because of itsfree use services, low-cost operations, accessibility, and popularity. Emails have onemajor security flaw that is anyone can send an email to anyone just by getting theirunique user id. This security flaw is being exploited by some businesses andill-motivated persons for advertising, phishing, malicious purposes, and finally fraud.This produces a kind of email category called SPAM.Spam refers to any email that contains an advertisement, unrelated andfrequent emails. These emails are increasing day by day in numbers. Studies showthat around 55 percent of all emails are some kind of spam. A lot of effort is beingput into this by service providers. Spam is evolving by changing the obvious markersof detection. Moreover, the spam detection of service providers can never beaggressive with classification because it may cause potential information loss toincase of a misclassification.To tackle this problem we present a new and efficient method to detect spamusing machine learning and natural language processing. A tool that can detect andclassify spam. In addition to that, it also provides information regarding the textprovided in a quick view format for user convenience."