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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}. 8655. vyd. Switzerland: Springer International Publishing, 2014, s.~53-61. ISBN~978-3-319-10815-5. Dostupné z: https://dx.doi.org/10.1007/978-3-319-10816-2\_{}7.
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