Abstract:- Natural language processing (NLP) deals with building computational algorithms to automatically analyse and represent human language. NLP-based systems have enabled a wide range of applications such as Google’s powerful search engine, and more recently, Amazon’s voice assistant named Alexa. NLP is also useful to teach machines the ability to perform complex natural language related tasks such as machine translation and dialogue generation. For a long time, the majority of methods used to study NLP problems employed shallow machine learning models and time-consuming, hand-crafted features. This led to problems such as the curse of dimensionality since linguistic information was represented with sparse representations (high-dimensional features).