Detection of Spam Messages Using Machine Learning

Social networking websites have interaction hundreds of thousands of customers across the world.The customers' interactions with these social web sites, consisting of Twitter and Facebook have a splendid effect and occasionally unwanted repercussions for each day life. The distinguished social networking web sites have changed into a goal platform for the spammers to disperse a big quantity of beside the point and deleterious information. Twitter, for example, has emerge as one of the maximum extravagantly sed structures of all instances and consequently lets in an unreasonable quantity of spam. Fake customer’s ship undesired tweets to customer’s to sell offerings or web sites that now no longer most effective have an effect on valid customers however also disrupt aid consumption. We make a clone of the twitter and we will update the tweets, we can update the messages to the server and we can send even the friend requests. In this web application we are using the Django based server and we remove the spam messages and we will use special algorithms to filter the bot users.