A new text-mining algorithm can help identify the most relevant scientific research for a public database that reveals the effects of environmental chemicals on human health, according to research ...

Text mining concerns looking for patterns in unstructured text. The related task of Information Extraction (IE) is about locating specific items in natural-language documents. This paper presents a ...

Bias in Prediction Models to Identify Patients With Colorectal Cancer at High Risk for Readmission After Resection This study used EHR data from patients with mNSCLC receiving immunochemotherapy ...

Keeping up with current scientific literature is a daunting task, considering that hundreds to thousands of papers are published each day. Now researchers from North Carolina State University have ...

Keeping up with current scientific literature is a daunting task, considering that hundreds to thousands of papers are published each day. Now researchers have developed a computer program to help ...

SOFIA, Bulgaria, June 2, 2021 /PRNewswire/ -- Ontotext has released GraphDB 9.8, which offers text mining integration, notifications over Kafka, Helm charts, and performance improvements. Enrich the ...

Text clustering is a text mining technique used to group text documents into groups (or clusters) based on similarity of content. This organization (i.e. clustering) is so as to make documents more ...

The quantity of digital text data has grown exponentially in recent years and will continue to grow. From social media posts to customer transactions, surveys, reviews, chats, emails and more, ...