Work

A Heuristic Text Analytic Approach for Classifying Research Articles

Year: 2015

Type: article

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.

Source: Intelligent Information Management

DOI: 10.4236/iim.2015.71002

Authors: Steven Walczak, Deborah L. Kellogg

Institutions: University of South Carolina, University of South Florida, University of Colorado Denver

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Library and Information Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W1996698341

FWCI: 1.14

Cites: 28

Cited by: 11

Related to: 10