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[00180] Relationship between musical notes and socio-political events

  • Session Time & Room : 3E (Aug.23, 17:40-19:20) @E811
  • Type : Contributed Talk
  • Abstract : Historians and scientists long suspected that sounds and music impact different cultures. However, empirical data to support such claim is sparse. Previous research using Supervised Machine Learning algorithms, i.e. ANFIS (Adaptive Neuro-Fuzzy Inference System) has successfully categorised musical genre classification and predicted the outcome of the United Kingdom's election results using popular music released in that period by feeding sound wave features to the ANFIS algorithm. This study reports similar research for the Moroccan elections using two different supervised machine learning algorithms namely, k-NN and SVM.
  • Classification : 68T09, 91C99
  • Format : Talk at Waseda University
  • Author(s) :
    • Choi-Hong Lai (University of Greenwich)
    • Nakunam Kokulan (University of Greenwich)
    • Yahya Chahine (University of Greenwich)