Podcast: Using data to predict bestselling and prize-winning books

Can quantitative analysis be used to predict if your book will become a bestseller or win a prestigious award? Andrew Piper, associate professor at McGill University and director of .txtLAB, a digital humanities laboratory focused on applying computational approaches to literature and culture, certainly wanted to find out.

With a reputation for a 75% prediction rate for bestsellers, what can Andrew teach us about the bestseller formula and what are the practical implications for the publishing industry?

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