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Materials for AoM PDW on “Computational Approaches to Advance the Study of Culture: New Methodological Frontiers”:

  1. Sameer Srivastava: “Interactional Language Use Model & Word Embeddings” (slides available here)

  2. Balázs Kovács: “Deep Learning Models to Study Categorical Uncertainty” (slides available here)

  3. Matthew Corritore: “Using Topic Models to Measure Corporate Culture” (slides available here)

  4. Mitali Banerjee: “Computational Tools to Study Cultural Markets Through Images” (slides available here)

  5. Noah Askin: “Studying Culture, Categories, and Creativity Through Sound: Advances from Music Information Retrieval Data” (slides available here)