If you work with strings in your Python scripts and you're writing obscure logic to process them, then you need to look into regex in Python. It lets you describe patterns instead of writing ...

Smarter document extraction starts here.

Process Diverse Data Types at Scale: Through the Unstructured partnership, organizations can automatically parse and transform documents, PDFs, images, and audio into high-quality embeddings at ...

Abstract: In today's digital world, protecting sensitive data is essential, and encryption plays a vital role in safeguarding this information. This paper presents a study of three encryption ...

We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...

This has been a big week in the long-running — and still very much not-over — saga of the Jeffrey Epstein files. That’s because we’ve begun to learn more about the Justice Department’s controversial ...

The Department of Justice has released nearly 3.5 million pages of documents from cases and investigations related to convicted sex offender Jeffrey Epstein. The DOJ released its first batch of files ...

WASHINGTON -- The Justice Department said Monday that it had taken down several thousand documents and "media" that may have inadvertently included victim-identifying information since it began ...

What if you could turn chaotic, unstructured text into clean, actionable data in seconds? Better Stack walks through how Google’s Lang Extract, an open source Python library, achieves just that by ...

Few Americans are satisfied with the amount of evidence released in the Jeffrey Epstein case, a CNN poll conducted by SSRS finds, with most saying they believe the government is intentionally holding ...