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1篇 您的检索式：作者名="Ion C.Freeman"

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		题名	作者	年代	出处	被引量
	1	Researching the Research: Applying Machine Learning Techniques to Dissertation Classification显示文摘This research examines industry-based dissertation research in a doctoralcomputing program through the lens of machine learning algorithms todetermine if natural language processing-based categorization on abstractsalone is adequate for classification. This research categorizes dissertationby both their abstracts and by their full-text using the GraphLabCreate library from Apple’s Turi to identify if abstract analysis is anadequate measure of content categorization, which we found was not. Wealso compare the dissertation categorizations using IBM’s Watson Discoverydeep machine learning tool. Our research provides perspectiveson the practicality of the manual classification of technical documents;and, it provides insights into the: (1) categories of academic work createdby experienced fulltime working professionals in a Computing doctoralprogram, (2) viability and performance of automated categorization of theabstract analysis against the fulltext dissertation analysis, and (3) natuallanguage processing versus human manual text classification abstraction.	Suzanna Schmeelk Tonya L.Fields Lisa R.Ellrodt Ion C.Freeman Ashley J.Haigler	2020	Journal of Computer Science Research2020，2，4：	0

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