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Saadiyah Darus and Abdul Muhaimin Abdullah. (2012). Automated Document Analyser for Screening of Journal Articles. Journal of Scholarly Publishing. Volume 43, Issue 2, pp. 188-199.
Published by University of Toronto Press.
The screening process of journal articles, done to determine the suitability for publication, is presently done... more The screening process of journal articles, done to determine the suitability for publication, is presently done manually. The chief editor or an assistant will read and check the submitted articles against some standard criteria of the journal. With the increase in the number of submissions, this task becomes a burden, which in turn causes delays in giving initial feedback to the authors. The objective of this paper is to describe the design and implementation of an automated document analyser that can be used by editors for initial screening of journal articles. This analyser was developed so that it can be used within a Microsoft Word environment via VBA macros. The current version of the software can determine the length of the title, information about author(s), the length of the abstract, number of keywords, the number of words in the content, the presence or absence of an acknowledgement, and whether a specific journal is cited in the article.