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AI Summary
- Ted Underwood applies machine learning to literary analysis, revealing long-term patterns invisible in individual works
- Emphasizes the importance of correcting and enriching digital collections to enable meaningful literary research
- Argues that statistical interpretation requires domain expertise and proper modeling—machine learning alone cannot answer literary questions