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To the question of data-driven identification of author's age for Russian texts with age deceptions using machine learning

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dc.contributor.authorLitvinova, T.
dc.contributor.authorSboev, A.
dc.contributor.authorRybka, R.
dc.contributor.authorMoloshnikov, I.
dc.contributor.authorGudovskikh, D.
dc.contributor.authorСбоев, Александр Георгиевич
dc.date.accessioned2024-11-21T09:10:28Z
dc.date.available2024-11-21T09:10:28Z
dc.date.issued2019
dc.description.abstract© 2019 Published under licence by IOP Publishing Ltd.In this work we compare data-driven approaches to the task of author's age identification for Russian texts with age deception. The data corpus has been specially gathered with crowdsourcing for this task. Two ways to determine age deception in author texts are considered and compared: The first is a traditional task of identification of age group of a text author, the second is identification of the occurrence of age imitation in the text with its type (imitating higher age or imitating lower age). The best results obtained by LinearSVC model with vector of TF-IDF features of character n-grams as input data demonstrate the F1-score of about 80% for the second task, and for the first one it is about 44%.
dc.identifier.citationTo the question of data-driven identification of author's age for Russian texts with age deceptions using machine learning / Litvinova, T. [et al.] // Journal of Physics: Conference Series. - 2019. - 1205. - № 1. - 10.1088/1742-6596/1205/1/012049
dc.identifier.doi10.1088/1742-6596/1205/1/012049
dc.identifier.urihttps://www.doi.org/10.1088/1742-6596/1205/1/012049
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85066329031&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000481606200049
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/18162
dc.relation.ispartofJournal of Physics: Conference Series
dc.titleTo the question of data-driven identification of author's age for Russian texts with age deceptions using machine learning
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume1205
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