Stylometric Analysis of Open-Source Literature

Our task is to train a machine learning algorithm that matches a given input text with a well-known author whose writing style it most resembles. We chose 13 prominent authors in the world of English literature and learned their writing patterns using stylometry, the study of linguistic style. We think this topic is interesting because its potential applications range from identifying an author of an anonymous text to detecting plagiarism in papers.

 

The authors we analyzed and put in our database include:

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    Agatha Christie                     Beatrix Potter                       Charles Dickens                      Charlotte Bronte                 D H Lawrence

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​         Edgar Allan Poe                  Herman Melville                   Jack London                            Jane Austen                    Louisa May Alcott

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       Mark Twain                   Sir Arthur Conan Doyle                 Virginia Woolf