60618

Автор(ы): 

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Доклад

Название: 

Application of neural network modeling in the task of destructive content detecting

ISBN/ISSN: 

1613-0073

Наименование конференции: 

  • R. Piotrowski's Readings in Language Engineering and Applied Linguistics (PRLEAL-2019)

Наименование источника: 

  • CEUR Workshop Proceedings (Proceedings of the International Conference " R. Piotrowski's Readings in Language Engineering and Applied Linguistics")

Обозначение и номер тома: 

vol. 2552

Город: 

  • Санкт-Петербург

Издательство: 

  • CEUR-WS

Год издания: 

2020

Страницы: 

85-94
Аннотация
The study concerns the problem of identifying text messages containing signs of aggression. The analyzed database of messages was obtained for the period 2015-2016 from the social network “Vkontakte”. The method of vector representation of words and the model of recurrent neural network are used as analysis tools. The result of the simulation is a binary classifier: a message with signs of aggression or neutral content.

Библиографическая ссылка: 

Исхакова А.О., Исхаков А.Ю., Охапкина Е.П., Охапкин В.П. Application of neural network modeling in the task of destructive content detecting / CEUR Workshop Proceedings (Proceedings of the International Conference " R. Piotrowski's Readings in Language Engineering and Applied Linguistics"). СПб.: CEUR-WS, 2020. vol. 2552. С. 85-94.