A Survey of Deep Learning Techniques in Natural Language Processing Applications

Abstract

Language communication is a natural phenomenon that happens in humans but considered as hard for computer systems. Natural Language Processing is a branch of computer science that acts as a link between computers and natural communication languages. This helps machines to recognize, and analyze the commands given in human interaction languages and to process the commands. Data gets converted into more significant one if its context is understood deeply. When the data is understood in depth, text analysis and text mining become easier. Natural Language Processing plays a vital role in aid of human generated data comprehension. This result in grasping of the context-dependency of data as a logical consequence. With the emergence of Artificial Intelligence and Deep Learning that has redefined the data analysis tasks in a variety of domains; Natural Language Processing comes as a unanimous choice of tool in training computer systems. In this paper, we have reviewed the state-of-the-art methods available for Natural Language Processing and Deep Learning.