Natural Language Process delineates a predominant part in the field of emerging technologies that allow the computer to transfer the data with humans in their language. The machine indulges in reading texts, hearing speeches, interpreting IT, measuring sentiments, etc. It is also known as a language-centric task scaler. With the changing world where technology becomes a crucial part of our lives, so does NLP. By utilizing Natural Language Processing methods, you can make it feasible for non- expert users to express their programming concepts through natural language. NLP is arguablythe most convenient and conventional type of technology field today which fosters Siri, Alexa, and Cortana that has become a unified part of our lives. Natural Language is a subset of artificial intelligence whose primary purpose is to comprehend and produce meaningful human language utterances. It is salient because it tends to resolve the ambiguity in language. Over a decade the high- profile researchers had put in efforts- for social media monitoring, the opportunity of customer service and chatbots, fake news detection, generative pretraining model (GPT), etc. Therefore, NLP provides you with the usage of Artificial Intelligence and is also used to recover the information in data mining. This technology is going to take over the market soon as it is in high demand because of its easier approach and accessibility. Natural Language Processing (NLP) and its many techniques are examined in this study.

Natural Language Processing (NLP), Natural Language, Artificial Intelligence, Technology, Data Science, Machine Learning, RNN (Recurrent Neural Network)