In 2014, natural language processing accounted for 40 percent of the total market revenue, and will continue to be a major opportunity within the field. Healthcare is already the biggest user of these technologies, and will continue to snap up NLP tools through the rest of the decade.
https://healthitanalytics.com/features/what-is-the-role-of-natural-language-processing-in-healthcare
A few of the many examples of national language processing in the clinical decision support and risk stratification realms include: 1  In 2013, the Department of Veterans Affairs used NLP techniques to review more than 2 billion EHR documents for indications of PTSD, depression, and potential self-harm in veteran patients.
https://healthitanalytics.com/features/what-is-the-role-of-natural-language-processing-in-healthcare
What is natural language processing used for? There are a number of different NLP tasks incorporated into software programs today, including: Sentence segmentation, part-of-speech tagging, and parsing: Natural language processing can be used to analyze parts of a sentence to better understand the grammatical construction of the sentence.
https://www.kdnuggets.com/2015/12/natural-language-processing-101.html
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https://healthitanalytics.com/features/what-is-the-role-of-natural-language-processing-in-healthcare
Natural language processing (NLP) is at the root of this complicated mission. The ability to analyze and extract meaning from narrative text or other unstructured data sources is a major piece of the big data puzzle, and drives many of the most advanced and innovative health IT tools on the market. What is natural language processing? Natural language processing is the overarching term used to describe the process of using of computer algorithms to identify key elements in everyday language and extract meaning from unstructured spoken or written input.
https://healthitanalytics.com/features/what-is-the-role-of-natural-language-processing-in-healthcare
What is the Role of Natural Language Processing in Healthcare? Natural language processing may be the key to effective clinical decision support, but there are many problems to solve before the healthcare industry can make good on NLP's promises.
https://healthitanalytics.com/features/what-is-the-role-of-natural-language-processing-in-healthcare
How is the healthcare industry using natural language processing and what does the future hold for text-driven clinical decision support and EHR improvements? Become a member Login
https://healthitanalytics.com/features/what-is-the-role-of-natural-language-processing-in-healthcare
Natural language processing (NLP) helps computers understand human speech and language. We define the key NLP concepts and explain how it fits in the bigger picture of Artificial Intelligence. By Scott Sims, CEO Buzzlogix.
https://www.kdnuggets.com/2015/12/natural-language-processing-101.html
Machine translation: Natural language processing is increasingly being used for machine translation programs, in which one human language is automatically translated into another human language. Named entity extraction: In data mining, a named entity definition is a phrase or word that clearly identifies one item from a set of other items that have similar attributes.
https://www.kdnuggets.com/2015/12/natural-language-processing-101.html
What is natural language processing? Natural language processing, often abbreviated as NLP, refers to the ability of a computer to understand human speech as it is spoken. NLP is a key component of artificial intelligence (AI) and relies on machine learning, a specific type of AI that analyzes and makes use of patterns in data to improve a program’s understanding of speech.
https://www.kdnuggets.com/2015/12/natural-language-processing-101.html
what is natural language processing definition
Natural language processing is the overarching term used to describe the process of using of computer algorithms to identify key elements in everyday language and extract meaning from unstructured spoken or written input.