Natural Language Processing (NLP) is a field of Artificial Intelligence, concerned with GIVING computers the ability to understand and interact in human languages in a way humans can.

NLP combines rule-based modeling of human language with statistical, machine learning, and deep learning models. This makes a computer fully understand and comprehend human language in the form of voice or text. Voice-operated GPS systems, speech-to-text systems, customer service chat boxes, etc. USE NLP.

Natural language processing encompasses a wide range of methods for analyzing human language, including statistical and machine learning techniques, as well as rules-based and algorithmic approaches. Because text- and voice-based data, as well as practical applications, require a diverse set of methodologies. Tokenization and parsing, lemmatization/stemming, part-of-speech tagging, language detection, and semantic link identification are all basic NLP activities. You've probably DONE these chores manually PREVIOUSLY if you ever diagrammed sentences in elementary school. NLP tasks, in general, BREAK down language into smaller, more basic bits and attempt to comprehend the relationships between them. These tasks are used in higher NLP capabilities like- content categorization, topic discovery and modelling, sentiment analysis, speech-to-text, and text-to-speech conversion.