Статья

Communicative behavior and speech perception of social media actors: A neural network approach

M. Pilgun,
2021

The paper concerns the analysis of the residents' attitude towards the construction of the chord ring in Moscow, as well as the identification of digital conflictogenic zones and predictive analytics. The material for the study was network data collected during the period from 1.07.2019 00:00 to 31.12.2019 23:59. To interpret the data, neural network text analysis, analysis of lexical associations, content analysis and sentiment analysis were used. As a result, digital conflictogenic zones were identified; users' perception of each facility was characterized; the risks of protests in the virtual and real space during the project implementation were assessed. © 2020 Copyright for this paper by its authors.

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Источник

Версии

  • 1. Version of Record от 2021-08-23

Метаданные

Об авторах
  • M. Pilgun
    Institute of Linguistics, Russian Academy of Sciences, 1 bld. 1 Bolshoi Kislovsky lane, app. 47, 49, Moscow, 125009, Russian Federation
Предметная рубрика
  • COVID-19
Название журнала
  • CEUR Workshop Proceedings
Том
  • 2852
Ключевые слова
  • Linguistics; Predictive analytics; Risk assessment; Risk perception; Sentiment analysis; Social networking (online); Content analysis; Lexical associations; Network data; Project implementation; Social media; Speech perception; Text analysis; Users' perception; Neural networks
Издатель
  • CEUR-WS
Тип документа
  • Conference Paper
Тип лицензии Creative Commons
  • CC-BY
Правовой статус документа
  • Свободная лицензия
Источник
  • scopus