Let’s look at three popular open source NLP tools that developers and data scientists are using to perform discovery on unstructured documents and develop production-ready NLP processing engines.

Implementing AI in healthcare isn’t just about choosing the right tools—it’s about making them work in the real world.

Patients with chronic diseases may have files that include dozens of clinical records that providers may not have time to ...

The degree to which some languages are underrepresented in data sets is well-recognized, but the ways in which the effect is magnified throughout the NLP toolchain is less discussed, the ...

In recent years, NLP has undergone significant changes that have made it increasingly easier for users at all skill levels to handle and explore data without being a data scientist. The adoption of ...

Previously, Regenstrief Institute researchers developed three NLP algorithms to extract housing, financial and employment data from electronic health records. The goal was to measure social ...