A Heuristic Text Analytic Approach for Classifying Research Articles

Steven Walczak; Deborah L. Kellogg

doi:10.4236/iim.2015.71002

A Heuristic Text Analytic Approach for Classifying Research Articles

Steven Walczak, Deborah L. Kellogg

University of South Florida

Research output: Contribution to journal › Article › peer-review

Abstract

Classification of research articles is fundamental to analyze and understand research literature. Underlying concepts from both text analytics and concept mining form a foundation for the development of a quantitative heuristic methodology, the Scale of Theoretical and Applied Research (STAR), for classifying research. STAR demonstrates how concept mining may be used to classify research with respect to its theoretical and applied emphases. This research reports on evaluating the STAR heuristic classifier using the Business Analytics domain, by classifying 774 Business Analytics articles from 23 journals. The results indicate that STAR effectively evaluates overall article content of journals to be consistent with the expert opinion of journal editors with regard to the research type disposition of the respective journals.

Original language	American English
Journal	Intelligent Information Management
Volume	7
DOIs	https://doi.org/10.4236/iim.2015.71002
State	Published - Jan 1 2015

Keywords

Bibliometric
Business Analytics
Concept Mining
Heuristic
Research Continuum
Text Analytics
Text Mining

Disciplines

Business Analytics
Computer Engineering

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AB - Classification of research articles is fundamental to analyze and understand research literature. Underlying concepts from both text analytics and concept mining form a foundation for the development of a quantitative heuristic methodology, the Scale of Theoretical and Applied Research (STAR), for classifying research. STAR demonstrates how concept mining may be used to classify research with respect to its theoretical and applied emphases. This research reports on evaluating the STAR heuristic classifier using the Business Analytics domain, by classifying 774 Business Analytics articles from 23 journals. The results indicate that STAR effectively evaluates overall article content of journals to be consistent with the expert opinion of journal editors with regard to the research type disposition of the respective journals.

KW - Bibliometric

KW - Business Analytics

KW - Concept Mining

KW - Heuristic

KW - Research Continuum

KW - Text Analytics

KW - Text Mining

UR - https://digitalcommons.usf.edu/si_facpub/168

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M3 - Article

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JO - Intelligent Information Management

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ER -

A Heuristic Text Analytic Approach for Classifying Research Articles

Abstract

Keywords

Disciplines

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