意味世界の計算社会科学的分析に向けて:社会学におけるトピックモデルの意義の検討

Yu Odanaka, Yutaka Nakai

研究成果: Article査読

抄録

This study discusses the significance of the topic model, which is a method of natural language processing in sociology. First, according to the results of an examination of the previous research, we demonstrated that the topic model can be applied to analyze meaning; moreover, it is necessary for examining the relationship between the construction of reality and language to consider the “topics” in the model. Thereafter, we focused on Schutz's theory of relevance, which explains how people make the world meaningful in terms of linguistic knowledge. Finally, theoretical examination and empirical analysis of free descriptive answers to a questionnaire survey revealed that the model can clarify the system of relevance. The results suggest that the topic model enables mathematical or quantitative development of the phenomenological sociology of knowledge; furthermore, it is expected that a computational social scientific approach would be useful for analyzing meaning.

寄稿の翻訳タイトルToward a Computational Social Scientific Analysis of Meaning
本文言語Japanese
ページ(範囲)280-295
ページ数16
ジャーナルSociological Theory and Methods
34
2
DOI
出版ステータスPublished - 2019
外部発表はい

Keywords

  • LDA(Latent Dirichlet Allocation)
  • relevance
  • sociology of knowledge
  • text mining
  • topic model

ASJC Scopus subject areas

  • 社会科学(その他)
  • 社会学および政治科学

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