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.

Until now. New tools exist in the form of medical-grade NLP powered by artificial intelligence (AI) that can unleash the value contained in unstructured data within CCDs.

For these reasons, the healthcare NLP industry is in hyper-growth: MarketsandMarkets estimated last year that healthcare NLP will be a $2.67 billion category by 2020, with a CAGR of 19.2%.

A 2024 review of how wider healthcare is implementing NLP and AI found that 81% of systems were using NLP to extract clinical data from EHRs. That’s a big deal because it means faster access to ...

The company has just released a report, “Harnessing the Power of Unstructured Data with NLP and NLU.” The report, prepared by The AI Journal, features the results of an October 2021 Sapio Research ...

Kyndi’s platform processes this unstructured data and allows users to search using natural language questions to provide what it calls “natural language search-as-a-service.” The platform uses a neuro ...

Previously, Unstructured’s sole product was an open source suite of these data processing tools. Raymond claims that it’s been downloaded around 700,000 times and used by over 100 companies.

Learn More. Natural language processing (NLP) is a branch of artificial intelligence (AI) that focuses on computers incorporating speech and text in a manner similar to humans understanding.

- Eyal Benishti, IRONSCALES 20. NLP Technology Will Extend To Nonverbal Communication NLP continually evolves with the accumulation of unstructured data, making its evolution perpetual.

The company even offers documentation on how to do so. To utilize NLP in Azure, Microsoft recommends Apache Spark, an open-source unified analytics engine built for large-scale data processing.

Indeed, most of the data that companies generate is “unstructured,” that is, it doesn’t have any predefined labeling. This could be plain text contained within PDFs, image files, or emails.