Discover five real-world applications of NLP, including sentiment analysis, chatbots, machine translation, text summarization and speech recognition.

NLP is a branch of AI where machine learning is let loose on language to make sense of it, and then turn it into quantifiable signals that quant funds factor into trading.

But Why Natural Language Processing? NLP is an emerging technology that drives many forms of AI you're used to seeing.

Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that enables computers to understand, interpret, and generate human language.

Teaching computers to make sense of human language has long been a goal of computer scientists. Natural language processing algorithms aim to make sense of it.

What is natural language processing? Natural language processing, or NLP, is currently one of the major successful application areas for deep learning, despite stories about its failures.

Neural matching, BERT, and other NLP techniques from Google Google’s quest to understand the nuance of human language has led it to adopt several cutting-edge NLP techniques.

But this ability should not be confused with a genuine understanding of language—the ultimate goal of the subfield of AI known as natural-language processing (NLP).

M. B. Emeneau, Language and Non-Linguistic Patterns, Language, Vol. 26, No. 2 (Apr. - Jun., 1950), pp. 199-209 ...