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.

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 ...

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 ...

With the natural language processing market continuing to rapidly grow, understanding its development and best use cases can open up new markets.

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

Natural language processing is a type of artificial intelligence in which computational and mathematical methods are used to analyze the human language.

Natural language processing can be used for automated extraction of social work interventions from electronic health records, thereby supporting social work staffing and resource allocation decisions.