1. Adelaide Research & Scholarship
  2. Schools and Disciplines
  3. School of Electrical and Electronic Engineering
  4. Electrical and Electronic Engineering publications
Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/2345
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBerryman, M.-
dc.contributor.authorAllison, A.-
dc.contributor.authorAbbott, D.-
dc.date.issued2003-
dc.identifier.citationFluctuation and Noise Letters (FNL), 2003; 3(1):L1-L10-
dc.identifier.issn0219-4775-
dc.identifier.issn1793-6780-
dc.identifier.urihttp://hdl.handle.net/2440/2345-
dc.description© World Scientific Publishing Company-
dc.description.abstractWe 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.-
dc.description.statementofresponsibilityM. J. Berryman, A. Allison and D. Abbott-
dc.language.isoen-
dc.publisherWorld Scientific Publishing Co. Pty. Ltd.-
dc.source.urihttp://dx.doi.org/10.1142/s021947750300104x-
dc.subjectStylography-
dc.subjecttext autoship-
dc.subjectstatistics of text-
dc.subjectkeyword extraction-
dc.titleStatistical techniques for text classification based on word recurrence intervals-
dc.typeJournal article-
dc.identifier.doi10.1142/S021947750300104X-
pubs.publication-statusPublished-
dc.identifier.orcidAllison, A. [0000-0003-3865-511X]-
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]-
Appears in Collections:Aurora harvest 6
Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.