Topic modeling of conflict ad hoc discussions in social networks

Ivan Blekanov, Nikita Tarasov, Alexey Maksimov

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

4 Scopus citations

Abstract

In this paper authors carry out the research of three different topic models in the context of analyzing different large scale twitter ad hoc discussions, obtained from social network on different social and political events. An experiment is being conducted to test the effectiveness of models in analyzing three known discussions: the riots in Biryulyovo (Russia), Ferguson unrest (USA), Charlie Hebdo shooting (France). The results of the experiment show that the BTM topic model in terms of both Umass and Npmi, yielded the best results on all discussions in comparison to the baseline LDA model and another model for short imbalanced texts - WNTM.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018
EditorsKlyuev Vitaly, Pyshkin Evgeny, Natalia Bogach
PublisherAssociation for Computing Machinery
Pages122-126
Number of pages5
ISBN (Electronic)9781450365161
DOIs
StatePublished - 1 Nov 2018
Event3rd International Conference on Applications in Information Technology, ICAIT 2018 - Aizu-Wakamatsu, Japan
Duration: 1 Nov 20183 Nov 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd International Conference on Applications in Information Technology, ICAIT 2018
CountryJapan
CityAizu-Wakamatsu
Period1/11/183/11/18

Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Keywords

  • Ad hoc discussions
  • BTM
  • LDA
  • Social networks
  • Topic modeling
  • WNTM

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