Authorship identification and author fuzzy "fingerprints"

Fingerprint identification is a well-known technique in forensic sciences. The basic idea of identifying a subject based on a set of features left by the subject actions or behavior can be applied to other domains. Identifying text authorship based on an author "fingerprint" is one such ap...

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Bibliographic Details
Published in2011 Annual Meeting of the North American Fuzzy Information Processing Society pp. 1 - 6
Main Authors Homem, Nuno, Carvalho, Joao Paulo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2011
Subjects
Algorithm design and analysis
approximate algorithms
Approximation algorithms
data streams
Feature extraction
Fingerprint recognition
Frequency selective surfaces
frequent elements
fuzzy fingerprints
Monitoring
Radiation detectors
similarity
vector valued fuzzy sets
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DOI10.1109/NAFIPS.2011.5751998

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Summary:Fingerprint identification is a well-known technique in forensic sciences. The basic idea of identifying a subject based on a set of features left by the subject actions or behavior can be applied to other domains. Identifying text authorship based on an author "fingerprint" is one such application. This paper considers the problem of extracting "fingerprints" from texts and matching them with those obtained from a set of known authors. It presents an innovative fuzzy fingerprint algorithm based on vector valued fuzzy sets. Words and other stylometric features are used to create the fingerprint. The implementation is based on an approximated fast and compact algorithm that allows the method to be used on near real time, even for a large number of authors and texts.
DOI:10.1109/NAFIPS.2011.5751998