The advent of machine learning (ML) tools presents researchers with the possibility of using large and new datasets related to text and image repositories. In this paper, we make a methodological contribution to strategy research by documenting a novel synthesis of
two machine learning methods–the unsupervised topic modeling of
textual data and the supervised ML coding of facial images with a neural network algorithm.
