Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/2345
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Type: Journal article
Title: Statistical techniques for text classification based on word recurrence intervals
Author: Berryman, M.
Allison, A.
Abbott, D.
Citation: Fluctuation and Noise Letters, 2003; 3(1):L1-L10
Publisher: World Scientific Publishing Co. Pty. Ltd.
Issue Date: 2003
ISSN: 0219-4775
1793-6780
Statement of
Responsibility: 
M. J. Berryman, A. Allison and D. Abbott
Abstract: We present a method for characterizing text based on a statistical analysis of word recurrence interval. This method can be used for extracting keywords from text, and also for comparing texts by an unknown author against a set of known authors. We also use these methods to comment on the controversial question of who wrote the letter to the Hebrews in the New Testament.
Keywords: Stylography; text autoship; statistics of text; keyword extraction
Description: © World Scientific Publishing Company
RMID: 0020031825
DOI: 10.1142/S021947750300104X
Appears in Collections:Electrical and Electronic Engineering publications

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