Journal of Medical Internet Research

The Use of Natural Language Processing to Interpret Unstructured Patient Feedback on Health ...

Topic modelling, primarily using Latent Dirichlet Allocation (LDA) algorithm, was employed to uncover latent themes in patient feedback, compare patient experiences across different healthcare ...
IEEE

Automated Data Extraction from Unstructured Text Using Machine Learning Algorithms

Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...
GitHub

aws-samples/sample-auto-extract-ai-ocr-app

AutoExtract は OCR + Bedrock を活用した帳票読み取りの AI-OCR ソリューションです。帳票からの情報抽出を半自動化し、人間によるデータ入力チェックをサポートするツールです。 cdk.json にて、使用する Bedrock モデルの ID とリージョンを指定することができます。
The New York Times

This A.I. Tool Is Going Viral. Five Ways People Are Using It.

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...
GitHub

Extract Microsoft 365 Secure Score information

o365-secure-score-extract.ps1 is a PowerShell script designed to extract Microsoft 365 Secure Score data, control profiles, Conditional Access policies, Security Defaults status, and MFA registration ...
Geeky Gadgets

How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

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 ...
IEEE

Structurization of Unstructured Data by using Triplet Extraction and Text Refinement

Abstract: In today’s data-driven world, structuring unstructured data is crucial for efficient analysis and meaningful insights. This paper focuses on transforming unstructured text documents into a ...