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Is Artificial Intelligence Suitable to Solve Cain’s Jawbone? (Part I)
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glthr.com | Guillaume Lethuillier's blog
To begin our analysis of the suitability of artificial intelligence, we have opted for a classic unsupervised learning approach (word vectorization and k-means clustering) to group the pages automatically by narrators. We anticipated that the result would be limited because of (a) the extratextual clues, (b) the simplicity of our approach—at this stage, at least—, and (c) the fact that the pages were all written by the same person pretending to be eight different narrators (meaning that the style difference between the pages is artificial, not intrinsic).