Topic Modeling in Russia: Current Approaches and Issues in Methodology

Research outputpeer-review

Abstract

Topic modeling as an instrument of probabilistic clustering for text collections has gained particular attention within the computational social science in Russia. This chapter looks at how topic modeling techniques have been developed and employed by the Russian scholars, both for Russian and other languages. We divide the works on topic modeling into methodological, applied, relational, and those dedicated to modeling quality assessment. While the methodological studies are the most developed, the works explaining the substance of the Russian-language discussions cover an important niche in political and social science. However, there is a gap between method-oriented works that treat Russian as “language as such” and the works by computational linguists who focus on Russian but treat topic modeling as a method of secondary importance.
Original languageEnglish
Title of host publicationThe Palgrave Handbook of Digital Russia Studies
EditorsDaria Gritsenko, Mikhail Kopotev, Marielle Wijermars
Place of PublicationCham
PublisherPalgrave Macmillan Ltd.
Chapter23
Pages409-426
ISBN (Electronic)978-3-030-42855-6
ISBN (Print)978-3-030-42854-9
Publication statusE-pub ahead of print - 16 Dec 2020

Scopus subject areas

  • Computer Science(all)
  • Social Sciences(all)

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