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Writing Style Comparison Method Based on the KNN Two-Sample Test Approach for English and Russian Text Collections. / Kizhaeva, Natalia; Shalymov, Dmitry; Granichin, Oleg; Volkovich, Zeev.

Artificial Intelligence and Natural Language & Information Extraction, Social Media and Web Search (AINL-ISMW FRUCT), St-Petersburg, Russia, 9-14 November 2015. 2015.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research

Harvard

Kizhaeva, N, Shalymov, D, Granichin, O & Volkovich, Z 2015, Writing Style Comparison Method Based on the KNN Two-Sample Test Approach for English and Russian Text Collections. in Artificial Intelligence and Natural Language & Information Extraction, Social Media and Web Search (AINL-ISMW FRUCT), St-Petersburg, Russia, 9-14 November 2015. <http://www.ainlfruct.com>

APA

Kizhaeva, N., Shalymov, D., Granichin, O., & Volkovich, Z. (2015). Writing Style Comparison Method Based on the KNN Two-Sample Test Approach for English and Russian Text Collections. In Artificial Intelligence and Natural Language & Information Extraction, Social Media and Web Search (AINL-ISMW FRUCT), St-Petersburg, Russia, 9-14 November 2015 http://www.ainlfruct.com

Vancouver

Kizhaeva N, Shalymov D, Granichin O, Volkovich Z. Writing Style Comparison Method Based on the KNN Two-Sample Test Approach for English and Russian Text Collections. In Artificial Intelligence and Natural Language & Information Extraction, Social Media and Web Search (AINL-ISMW FRUCT), St-Petersburg, Russia, 9-14 November 2015. 2015

Author

Kizhaeva, Natalia ; Shalymov, Dmitry ; Granichin, Oleg ; Volkovich, Zeev. / Writing Style Comparison Method Based on the KNN Two-Sample Test Approach for English and Russian Text Collections. Artificial Intelligence and Natural Language & Information Extraction, Social Media and Web Search (AINL-ISMW FRUCT), St-Petersburg, Russia, 9-14 November 2015. 2015.

BibTeX

@inproceedings{e81fb86c91454d8e917dbb26827d2199,
title = "Writing Style Comparison Method Based on the KNN Two-Sample Test Approach for English and Russian Text Collections",
abstract = "The paper deals with the writing style determination problem. The method designed is based on re-sampling approach and its performance depending on the parameter values is studied. A text is represented as a sequence of characters generated by distinct probability sources. A re-sampling procedure is applied in order to obtain samples from the texts. To check if samples are drawn from the same population a KNN-based twosample test is used. Numerical examples if different languages are provided, showing the high potential of the method.",
author = "Natalia Kizhaeva and Dmitry Shalymov and Oleg Granichin and Zeev Volkovich",
year = "2015",
language = "English",
booktitle = "Artificial Intelligence and Natural Language & Information Extraction, Social Media and Web Search (AINL-ISMW FRUCT), St-Petersburg, Russia, 9-14 November 2015",

}

RIS

TY - GEN

T1 - Writing Style Comparison Method Based on the KNN Two-Sample Test Approach for English and Russian Text Collections

AU - Kizhaeva, Natalia

AU - Shalymov, Dmitry

AU - Granichin, Oleg

AU - Volkovich, Zeev

PY - 2015

Y1 - 2015

N2 - The paper deals with the writing style determination problem. The method designed is based on re-sampling approach and its performance depending on the parameter values is studied. A text is represented as a sequence of characters generated by distinct probability sources. A re-sampling procedure is applied in order to obtain samples from the texts. To check if samples are drawn from the same population a KNN-based twosample test is used. Numerical examples if different languages are provided, showing the high potential of the method.

AB - The paper deals with the writing style determination problem. The method designed is based on re-sampling approach and its performance depending on the parameter values is studied. A text is represented as a sequence of characters generated by distinct probability sources. A re-sampling procedure is applied in order to obtain samples from the texts. To check if samples are drawn from the same population a KNN-based twosample test is used. Numerical examples if different languages are provided, showing the high potential of the method.

M3 - Conference contribution

BT - Artificial Intelligence and Natural Language & Information Extraction, Social Media and Web Search (AINL-ISMW FRUCT), St-Petersburg, Russia, 9-14 November 2015

ER -

ID: 4747698