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.

Data ingestion and process automation provider Xceptor is building out the machine-learning (ML) and natural-language processing (NLP) functionalities of its platform.The no-code platform has native ...

Clinical-grade medical NLP software reads and understands unstructured clinical notes—capabilities lacking in traditional NLP. It can extract data from these free-text notes in a structured ...

Sinequa enhances NLP and data connectors. Sinequa, a provider of enterprise search solutions, has added new capabilities in its platform. With an expansion of its natural language processing (NLP) ...

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 ...

NLP is adept at mining a wide variety of content types and tying them together with common metadata elements such as: • Named entities: People, companies, places, emails, phone numbers, etc.