Determining the Age of the Author of the Text Based on Deep Neural Network Models
Faculty of Security, Tomsk State University of Control Systems and Radioelectronics, 634050 Tomsk, Russia
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Information 2020, 11(12), 589; https://doi.org/10.3390/info11120589
Received: 11 November 2020 / Revised: 18 December 2020 / Accepted: 18 December 2020 / Published: 21 December 2020
(This article belongs to the Special Issue Natural Language Processing for Social Media)
This paper is devoted to solving the problem of determining the age of the author of the text based on models of deep neural networks. The article presents an analysis of methods for determining the age of the author of a text and approaches to determining the age of a user by a photo. This could be a solution to the problem of inaccurate data for training by filtering out incorrect user-specified age data. A detailed description of the author’s technique based on deep neural network models and the interpretation of the results is also presented. The study found that the proposed technique achieved 82% accuracy in determining the age of the author from Russian-language text, which makes it competitive in comparison with approaches for other languages.
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Keywords:
authorship; age; text analysis; computer vision; social networks; FastText; VGG-Face; CRNN
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MDPI and ACS Style
Romanov, A.S.; Kurtukova, A.V.; Sobolev, A.A.; Shelupanov, A.A.; Fedotova, A.M. Determining the Age of the Author of the Text Based on Deep Neural Network Models. Information 2020, 11, 589. https://doi.org/10.3390/info11120589
AMA Style
Romanov AS, Kurtukova AV, Sobolev AA, Shelupanov AA, Fedotova AM. Determining the Age of the Author of the Text Based on Deep Neural Network Models. Information. 2020; 11(12):589. https://doi.org/10.3390/info11120589
Chicago/Turabian StyleRomanov, Aleksandr S.; Kurtukova, Anna V.; Sobolev, Artem A.; Shelupanov, Alexander A.; Fedotova, Anastasia M. 2020. "Determining the Age of the Author of the Text Based on Deep Neural Network Models" Information 11, no. 12: 589. https://doi.org/10.3390/info11120589
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