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Natural Language Processing (NLP) is a subfield of computer science and artificial intelligence (AI) that deals with the interaction between computers and humans in natural language. The goal of NLP is to enable computers to understand, interpret, and generate human language, allowing them to perform tasks that would typically require human intelligence. In recent years, NLP has experienced significant growth due to the increasing availability of digital content and the need for intelligent information extraction from these sources. This paper reviews recent advances in NLP, including text classification, named entity recognition, sentiment analysis, machine translation, and speech recognition. Additionally, it highlights some of the challenges and future directions for NLP research.
Dande et al. (Sun,) studied this question.