In today’s modern era of technology, text analysis and Natural Language Processing had become crucial in artificial
intelligence. Natural language is a specific language which helps machine in reading the text with the help of stimulating the
ability of human for understanding a natural language like English or any other language. It consists of a theory-motivated
range of computational techniques which can be useful for automatic text analysis and representation of human language.
There has been an advancement in state-of-model in recent years but they have become less interpretable. The research paper
gives details about the operations and expansion techniques that are used for NLP model predictions in detail and it focuses on
recent developments in NLP to look future of NLP related algorithms and techniques. Also, we find out which NLG (Natural
Language Generation) evaluation measures is well related.
