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.

Natural language processing is a ubiquitous form of AI technology.

Learn the basics about natural language processing, a cross-discipline approach to making computers hear, process, understand, and duplicate human speech.

Top Natural Language Processing Techniques and Step Some of the most common ways NLP is used is in speech-to-text and text-to-speech applications; in sentiment analysis to extract meaning from text ...

For example, early optical character recognition systems relied on specialized fonts that computers could detect. Today, natural language processing is seen as mainstream and practical, with ...

Get a quick and easy introduction to natural language processing using the free, open source Apache OpenNLP toolkit and pre-built models for language detection, sentence detection, tagging parts ...

Commentary Natural Language Processing and Survey Data: LDA and the Importance of Topic Modeling Looking to gain greater insights into surveys? This third part of a series on NLP and survey data ...

This year, all eyes will be on natural language processing (NLP). With OpenAI's GPT-4 and Meta's LLaMA out, the race for the best AI-powered NLP tech is officially on. So what hides behind the ...

Clinical-grade NLP is in the earlier stages of adoption, but as healthcare organizations continue to struggle with unstructured data and clinician burnout, we will see a gradual increase in its ...