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Journal of Information and Organizational Sciences, Vol. 34 No. 1, 2010.

Original scientific paper

Automatically Generated Keywords: A Comparison to Author-Generated Keywords in the Sciences

Charlie D. Hurt ; Department of Computer Science&Information Systems, University of Wisconsin, River Falls, WI 54022 USA

Full text: english pdf 732 Kb

page 81-88

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Abstract

This paper examines the differences between author-generated keywords and automatically generated keywords in one area of scientific and technical literature. Using inverse frequency, keywords produced using both methods are examined using a maximum likelihood algorithm. By reducing the scope and size of the corpus of literature examined, this study more closely emulates the information gathering processes of scientists and technologists. Care was taken in developing the sample used, balancing statistical factors to allow interpretable outcomes and replication. The results of the study indicated there are no statistically significant differences between the two techniques.

Keywords

keywords; autogenerated; author-generated; NLP

Hrčak ID:

55159

URI

https://hrcak.srce.hr/55159

Publication date:

25.6.2010.

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