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 ...

Proprietary NLP algorithms and multi-source data deliver the industry's most granular view of AI search behavior by ...

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 ...

A study by the Regenstrief Institute and Indiana University has demonstrated the potential of using natural language processing technology to extract social risk factor information from clinical notes ...

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 ...

Language technology has grown fast, but it still feels frustrating at times. Maybe your virtual assistant misunderstands commands, or translation tools miss the tone of a sentence. These gaps can ...

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 ...

The sheer volume of information produced every day makes it difficult to distinguish between real and fake news, but advances in natural language processing (NLP) present a possible solution. In today ...

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 ...