NLP is already having a significant impact on the field of cybersecurity, where its ability to recognize patterns in communication has proven invaluable in the war against advanced phishing.

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

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.

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.

Communication is a lot more than the words that are said, especially online. Understanding tone, context, previous usage patterns and other harder-to-quantify parts of language is where NLP tools ...

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).