Ordered and quantum treemaps: Making effective use of 2D space to display hierarchies
ACM Transactions on Graphics (TOG)
Text Mining and Its Applications: Results of the Nemis Launch Conference (Studies in Fuzziness and Soft Computing, V. 138)
Exploring Independent Trends in a Topic-Based Search Engine
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Introduction to Information Retrieval
Introduction to Information Retrieval
CRM Segmentation and Clustering Using SAS Enterprise Miner
CRM Segmentation and Clustering Using SAS Enterprise Miner
Text Mining: Classification, Clustering, and Applications
Text Mining: Classification, Clustering, and Applications
Open Access: What You Need to Know Now (Ala Editions Special Report)
Open Access: What You Need to Know Now (Ala Editions Special Report)
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The federal government has encouraged open access to publicly funded federal science research results, but it is unclear what knowledge can be gleaned from them and how the knowledge can be used to improve scientific research and shape federal research policies. In this article, we present the results of a preliminary study of cyberlearning projects funded by the National Science Foundation (NSF) that address these issues. Our work demonstrates that text-mining tools can be used to partially automate the process of finding NSF's cyberlearning awards and characterizing the fine-grained topics implicit in award abstracts. The methodology we have established to assess NSF's cyberlearning investments should generalize to other areas of research and other repositories of public-access documents. © 2012 Wiley Periodicals, Inc.