One of the main challenges in language analysis is the method of transforming text into numerical input, which makes modeling feasible. It is not a problem in computer vision tasks due to the fact ...

Using nationwide electronic health record (EHR) and cancer registry data from the VA Corporate Data Warehouse, we developed and validated a rule-based NLP algorithm to extract oncologist-determined MM ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Natural language processing (NLP), business intelligence (BI) and ...

Galileo once observed that nature is written in math. Biology might be written in words. Natural-language processing (NLP) algorithms are now able to generate protein sequences and predict virus ...

Artificial Intelligence is shaking up digital marketing and search engine optimization (SEO). Natural Language Processing (NLP), a key component of AI search, is enabling businesses to interact with ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. 20 years ago, if you had a database table containing your sales information ...

Using a novel approach involving natural language processing (NLP) algorithms, we construct a new cross-country index of firms' inflation expectations from earnings call transcripts. Our index has a ...

Studies suggest natural language processing (NLP) is an effective tool in identifying candidates for epilepsy surgery. A review of 6 studies found natural language processing (NLP) showed ...

Clinicians — including doctors, nurses, and other healthcare professionals — face high levels of stress and burnout due to the nature of their work, with about half of all healthcare workers reporting ...