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@inproceedings{1198169,
author = {Rygl, Jan},
address = {Switzerland},
booktitle = {Text, Speech, and Dialogue - 17th International Conference},
doi = {http://dx.doi.org/10.1007/978-3-319-10816-2_7},
edition = {8655},
editor = {Petr Sojka; Aleš Horák; Ivan Kopeček; Karel Pala},
keywords = {authorship verification; feature selection; machine learning; stylome; stylometric features},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Switzerland},
isbn = {978-3-319-10815-5},
pages = {53-61},
publisher = {Springer International Publishing},
title = {Automatic Adaptation of Author's Stylometric Features to Document Types},
url = {http://www.tsdconference.org/tsd2014/download/preprints/575.pdf},
year = {2014}
}
TY - JOUR
ID - 1198169
AU - Rygl, Jan
PY - 2014
TI - Automatic Adaptation of Author's Stylometric Features to Document Types
PB - Springer International Publishing
CY - Switzerland
SN - 9783319108155
KW - authorship verification
KW - feature selection
KW - machine learning
KW - stylome
KW - stylometric features
UR - http://www.tsdconference.org/tsd2014/download/preprints/575.pdf
N2 - Many Internet users face the problem of anonymous documents and texts with a counterfeit authorship. The number of questionable documents exceeds the capacity of human experts, therefore a universal automated authorship identification system supporting all types of documents is needed. In this paper, five predominant document types are analysed in the context of the authorship verification: books, blogs, discussions, comments and tweets. A method of an automatic selection of authors’ stylometric features using a double-layer machine learning is proposed and evaluated. Experiments are conducted on ten disjunct train and test sets and a method of an efficient training of large number of machine learning models is introduced (163,700 models were trained).
ER -
RYGL, Jan. Automatic Adaptation of Author's Stylometric Features to Document Types. In Petr Sojka; Aleš Horák; Ivan Kopeček; Karel Pala. \textit{Text, Speech, and Dialogue - 17th International Conference}. 8655th ed. Switzerland: Springer International Publishing, 2014, p.~53-61. ISBN~978-3-319-10815-5. Available from: https://dx.doi.org/10.1007/978-3-319-10816-2\_{}7.
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