Spam Detection in Twitter
Mr. Girish Kumar D · International Journal for Research in Applied Science and Engineering Technology · 2020
In today's world humans have the ability to connect and communicate through social media independent of time or location.Since past two decades social media and internet has made a tremendous change in digital platform.Those were the old days where letters were written and posted.As technology is evolving digital media has changed the game over years, now there is Gmail, twitter, linked-in, what's-app, Instagram, telegram and many such applications which connects the world from one end to other where there is exchange of knowledge human to human connection and communication where association and exchange of ideas has become convenient and uncomplicated.Like everything created has its own pros and cons the digital media has its own.The improper use of social media has been misleading the bona fide users, because there is lot of personal and confidential information being shared on digital media such as twitter, Instagram and so on.The information is being hacked or leaked by the spammers.These spammers hack the genuine users account and post illegal information and abusive comments.To avoid this a methodology has been put forth which can be done by algorithms using machine learning.The performances of this model are measured using recall and F measure techniques.To detect spam we use Naïve bayes classification algorithm and support vector machine algorithm.