NLP is a subfield of computer science and is closely associated with artificial intelligence. NLP is also related to information retrieval, knowledge representation, computational linguistics, and linguistics more broadly. [1]
Natural language processing (NLP) is a subfield of computer science and artificial intelligence (AI) that uses machine learning to enable computers to understand and communicate with human language.
Natural language processing (NLP) is the discipline of building machines that can manipulate human language — or data that resembles human language — in the way that it is written, spoken, and organized.
Natural Language Processing (NLP) helps computers understand, interpret and produce human language. It studies language as data and develops a model that can analyse linguistic structure, meaning and context in both written and spoken communication.
Natural Language Processing (NLP) is a branch of artificial intelligence focused on enabling computers to understand, interpret, and generate human language in a meaningful way.
natural language processing (NLP), in computer science, the use of operations, systems, and technologies that allow computers to process and respond to written and spoken language in a way that mirrors human ability.
Natural language processing (NLP) is a subset of artificial intelligence, computer science, and linguistics focused on making human communication, such as speech and text, comprehensible to computers. NLP is used in a wide variety of everyday products and services.
Natural language processing (NLP) is technology that allows computers to interpret, manipulate, and comprehend human language. Organizations today have large volumes of voice and text data from various communication channels like emails, text messages, social media newsfeeds, video, audio, and more.
Natural language processing (NLP) makes it possible for humans to talk to machines. Learn how our devices understand language and how to apply this technology.