Article, Early Access, 2023

A text mining approach to the use of "groove" in everyday language

PSYCHOLOGY OF MUSIC, ISSN 0305-7356, 10.1177/03057356231205883

Contributors

Stupacher, Jan (Corresponding author) [1] [2] Bechtold, Toni [3] [4] Senn, Olivier 0000-0002-4944-3115 [4]

Affiliations

  1. [1] Aarhus Univ, Ctr Mus Brain, Dept Clin Med, Aarhus, Denmark
    2. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  2. [2] Royal Acad Mus Aarhus Aalborg, Aarhus, Denmark
    3. [NORA names: The Royal Academy of Music - Aarhus/Aalborg; Artistic Higher Education Institutions; Denmark; Europe, EU; Nordic; OECD];
  3. [3] Univ Birmingham, Dept Mus, Birmingham, England
    4. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  4. [4] Lucerne Univ Appl Sci & Arts, Lucerne Sch Mus, Luzern, Switzerland
    5. [NORA names: Switzerland; Europe, Non-EU; OECD]

Abstract

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Keywords

YouTube comments, groove, language use, popular music, text mining

Data Provider: Clarivate

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