  Social Media Platforms (SMPs) like Facebook, Twitter, Instagram etc. have
large user base all around the world that generates huge amount of data every
second. This includes a lot of posts by fake and spam users, typically used by
many organisations around the globe to have competitive edge over others. In
this work, we aim at detecting such user accounts in Twitter using a novel
approach. We show how to distinguish between Genuine and Spam accounts in
Twitter using a combination of Graph Representation Learning and Natural
Language Processing techniques.
