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We extracted philosophical and literary critical texts by using list of keywords. A python script was developed to calculate the relative frequency of each word in a text and do it over a collection. The process also calculates the sum of the relative frequencies giving us a simple measurement of the use of philosophical keywords in a text. We tested this approach on the Project Gutenberg and HathiTrust collections. 2. Machine learning to identify subsets
2. Machine learning to identify subsets.
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