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Fernandez, Jose M.; Yetter, Erin A.; Holder, Kim – Journal of Economic Education, 2021
The authors of this article use text mining techniques to uncover hidden or latent topics in economic education. The common use of JEL codes only identifies the academic setting for each paper but does not identify the underlying economic concept the paper addresses. An unsupervised machine learning algorithm called Latent Dirichlet Allocation is…
Descriptors: Economics Education, Educational Research, Artificial Intelligence, Scholarship
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Ochoa, Jose Luis; Almela, Angela; Valencia-Garcia, Rafael – Educational Research and Reviews, 2011
The identification of valid terms in any domain is fundamental to its computerization. For this reason, in this paper we present a method for obtaining automated morphosyntactic patterns, which will help researchers to obtain valid terms from the proposed patterns, in order to build quality ontologies for the translation from one language to…
Descriptors: Sentences, Syntax, Pattern Recognition, Lexicography
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Chen, Hsinchun – Journal of the American Society for Information Science, 1995
Presents an overview of artificial-intelligence-based inductive learning techniques and their use in information science research. Three methods are discussed: the connectionist Hopfield network; the symbolic ID3/ID5R; evolution-based genetic algorithms. The knowledge representations and algorithms of these methods are examined in the context of…
Descriptors: Artificial Intelligence, Indexing, Induction, Information Processing
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Jones, Leslie P.; And Others – Journal of the American Society for Information Science, 1990
Describes two computer programs--INDEX and INDEXD--that use statistical information about repeated phrases in documents to automatically index documents at the conceptual level. Sample output of the programs is provided, and plans to combine this method with linguistic and artificial intelligence techniques to provide a general conceptual…
Descriptors: Algorithms, Artificial Intelligence, Automatic Indexing, Computational Linguistics
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Malone, Linda C.; And Others – Information Processing and Management, 1991
Presents a statistical model for predicting the performance of an automated keywording system on each document it keywords. Methods of text analysis are described, including statistical methods, discriminant analysis, linguistic approaches, and artificial intelligence; performance measures are discussed; and regression models are explained. (16…
Descriptors: Artificial Intelligence, Automatic Indexing, Computational Linguistics, Discriminant Analysis
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Sager, Naomi – 1976
This investigation matches the emerging techniques in computerized natural language processing against emerging needs for such techniques in the information field to evaluate and extend such techniques for future applications and to establish a basis and direction for further research toward these goals. An overview describes developments in the…
Descriptors: Artificial Intelligence, Automatic Indexing, Computational Linguistics, Evaluation