Content Based Spam Classification in Twitter using MultiLayer Perceptron Learning

Abstract Social Networking Sites have created a boom in the industry of technology. Almost every second one out of three user is using one of the Social Networking Site. Due to high number of users, there comes a problem of Spam. Twitter is one of the vulnerable Social Networking Site and Twitter is facing a lot of problem due to malicious tweets sent by the spammers to lure the legitimate users. So, this paper represents a Content Based Spam Classification Approach i.e. MultiLayer Perceptron Learning for detection of Spam in Twitter. An analysis will be done using the MultiLayer Perceptron Learning and the results will then be compared with the already applied techniques for Spam Classification in Twitter.

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