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 ...
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 ...
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 ...
The researchers use a text-mining algorithm to prioritize research papers to read and include in their Comparative Toxicogenomics Database (CTD), a public database that manually curates and codes data ...
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 ...
Text-mining software developed at The University of Queensland is attracting worldwide attention for its simple, easy-to-use and effective approach, not to mention its affordable price tag. The ...
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 ...
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 ...
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