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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

Puni tekst: engleski, pdf (732 KB) str. 81-88 preuzimanja: 513* citiraj
APA 6th Edition
Hurt, C.D. (2010). Automatically Generated Keywords: A Comparison to Author-Generated Keywords in the Sciences. Journal of Information and Organizational Sciences, 34 (1), 81-88. Preuzeto s https://hrcak.srce.hr/55159
MLA 8th Edition
Hurt, Charlie D.. "Automatically Generated Keywords: A Comparison to Author-Generated Keywords in the Sciences." Journal of Information and Organizational Sciences, vol. 34, br. 1, 2010, str. 81-88. https://hrcak.srce.hr/55159. Citirano 17.10.2019.
Chicago 17th Edition
Hurt, Charlie D.. "Automatically Generated Keywords: A Comparison to Author-Generated Keywords in the Sciences." Journal of Information and Organizational Sciences 34, br. 1 (2010): 81-88. https://hrcak.srce.hr/55159
Harvard
Hurt, C.D. (2010). 'Automatically Generated Keywords: A Comparison to Author-Generated Keywords in the Sciences', Journal of Information and Organizational Sciences, 34(1), str. 81-88. Preuzeto s: https://hrcak.srce.hr/55159 (Datum pristupa: 17.10.2019.)
Vancouver
Hurt CD. Automatically Generated Keywords: A Comparison to Author-Generated Keywords in the Sciences. Journal of Information and Organizational Sciences [Internet]. 2010 [pristupljeno 17.10.2019.];34(1):81-88. Dostupno na: https://hrcak.srce.hr/55159
IEEE
C.D. Hurt, "Automatically Generated Keywords: A Comparison to Author-Generated Keywords in the Sciences", Journal of Information and Organizational Sciences, vol.34, br. 1, str. 81-88, 2010. [Online]. Dostupno na: https://hrcak.srce.hr/55159. [Citirano: 17.10.2019.]

Sažetak
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.

Ključne riječi
keywords; autogenerated; author-generated; NLP

Hrčak ID: 55159

URI
https://hrcak.srce.hr/55159

Posjeta: 646 *