Research on the applications of natural language processing

Abstract

In recent years, there has been a rapid advancement in natural language processing (NLP), leading to notable improvements in areas like sentiment analysis, machine translation, and text recognition. However, belonging to the same field under AI, the research materials and academic topics of NLP are not so adequate. Therefore, this paper introduces and shows the reader a general introduction to NLP for the current research environment, so that the reader can clearly understand the history of NLP, its uses, and the current and future research directions. It also analyzes the current mainstream applications of NLP, including the most basic Rule Based method and the more popular deep learning, development of pre-trained language models such as GPT. Besides, this article also analyzes the current mainstream application scenarios of NLP and its related use of technology, so that readers can have a clearer picture of the research direction of NLP. At the end, this paper also summarizes the general development of NLP, research methods, and application scenarios to provides an outlook on the future development of NLP with respect to these points.