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Spam on twitter is a major threat in recent days. To overcome these problems we take many steps to work on this. This work uses twitter as the input data source to address the problem of real-time. As twitter data contains a lot of spam, we built a dictionary of words to remove spam from the tweet social media. In order to solve these problem, we firstly carry out a deep analysis on the statistical features of taking training sets of data to differentiate spam tweet and non-spam tweet. Then wedoi:10.7753/ijcatr0712.1001 fatcat:3aknsycxardtbdvp2umy6wdja4