Authorship Semantical Identification Using Holomorphic Chebyshev Projectors

Text attribution and classification, for both information retrieval and analysis, have become one of the main issues in the matter of security, trust and copyright preservation. This paper proposes an innovative approach for text classification using Chebyshev polynomials and holomorphic transforms...

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Bibliographic Details
Published in2015 Asia-Pacific Conference on Computer Aided System Engineering pp. 232 - 237
Main Authors Napoli, Christian, Tramontana, Emiliano, Sciuto, Grazia Lo, Wozniak, Marcin, Damaevicius, Robertas, Borowik, Grzegorz
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2015
Subjects
authorship identification
Chebyshev approximation
data mining
Feature extraction
Modeling
natural language
neural networks
Polynomials
Radiation detectors
text mining
Transforms
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DOI10.1109/APCASE.2015.48

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Summary:Text attribution and classification, for both information retrieval and analysis, have become one of the main issues in the matter of security, trust and copyright preservation. This paper proposes an innovative approach for text classification using Chebyshev polynomials and holomorphic transforms of the coefficients space. The main advantage of this choice lies in the generality and robustness of the proposed semantical identifier, which can be applied to various contexts and lexical domains without any modification.
DOI:10.1109/APCASE.2015.48