![]() ![]() ![]() Gender from first names) packages useful. If you’re considering an analysis based on author name, you may find. ![]() ![]() You could match the wikipedia column in gutenberg_author to.Useful for tokenization and analysis, especially since gutenbergr Suggests many R packages related to text mining, especially around the In this transcription, in order to retain the accuracy of" #> title #> #> 1 The Poetics of Aristotle #> 2 The Poetics of Aristotle #> 3 The Poetics of Aristotle #> 4 The Poetics of Aristotle #> 5 The Poetics of Aristotle #> 6 The Poetics of Aristotle #> 7 The Poetics of Aristotle #> 8 The Poetics of Aristotle #> 9 The Poetics of Aristotle #> 10 The Poetics of Aristotle #> # … with 43,791 more rows FAQ What do I do with the text once I have it? Butcher" #> 6 1974 "" #> 7 1974 "" #> 8 1974 "[Transcriber's Annotations and Conventions: the translator left" #> 9 1974 "intact some Greek words to illustrate a specific point of the original" #> 10 1974 "discourse. ![]()
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