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 ...

Prof. Wang's current research interests include text mining algorithms and systems, data modeling and its applications, and combinatorial optimizations. His previous interests included large-scale ...

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 ...

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 ...

A team of materials scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) - scientists who normally spend their time researching things like high-performance materials for thermoelectrics ...

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, ...