The study of the relationship between publications in social networks communities via formal concept analysis

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI 2020

Год издания: 2020

Ключевые слова: community topic, data mining, formal concept analysis, semantic analysis, social network

Аннотация: Nowadays the users generate considerable amount of information in the Internet. Therefore, they have a deal with the issue of how to retrieve the required information perhaps much more relevant than he/she supposed. Moreover, the mix of different data sources usually muddles users in the case of searching for the instructive informПоказать полностьюation. The authors of this paper will introduce the approach based on text processing and formal concept analysis in order to structure the information from a variety of sources, particularly, social media communities. Additionally, they will clarify the relations between community posts with the same topic, where these relations become a recommendation tool for the user's decision making. In conclusion, the authors will build a diagram that will be a convenient visualization tool in an effort to structure information that was obtained from various sources. Copyright © 2020 for this paper by its authors.

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Издание

Журнал: CEUR Workshop Proceedings

Выпуск журнала: Vol. 2729

Номера страниц: 75-80

ISSN журнала: 16130073

Издатель: CEUR-WS

Персоны

  • Pakhomova K. (Siberian Federal University, Kraskoyarsk, Russian Federation)
  • Belova A. (Siberian Federal University, Kraskoyarsk, Russian Federation)

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