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Explore the intersection of grounded theory and topic modeling in this 29-minute conference talk by Dr. David Mimno at the Alan Turing Institute. Delve into the potential convergence or divergence between these two approaches to analyzing text as social and cultural data. Learn how interdisciplinary synergies can address methodological challenges in natural language processing, machine learning, humanities, and social sciences. Gain insights from the "Bridging disciplines in analysing text as social and cultural data" workshop, which aimed to close the gap between research methodologies across various fields. Discover the potential benefits of using large-scale text data for studying social and cultural phenomena and how researchers from different communities can collaborate to overcome shared challenges.
