Authorship Identification of 18th Century Letters using Wolfram Machine Learning Classifier
Requires a Wolfram Notebook System
Interact on desktop, mobile and cloud with the free Wolfram Player or other Wolfram Language products.
This Demonstration showcases Wolfram Language capabilities in identifying authorship from real-life letters written by three very famous historical personalities who lived during the same period in 18th century Austria and also knew each other quite well. These are Empress Maria Theresa, her son and co-regent Emperor Joseph II and the genial musician Wolfgang Amadeus Mozart. Machine learning is applied to the original German texts reported in the Initialization section. In the Manipulate panel you can switch between reading the English translation and the original German texts used as training samples and snippets. By clicking on the button "English translation with notes" you can also learn some more details about the text content and its authorship. In the training samples only the effective real authorship is reported, as these texts are chosen to train the machine learning (ML) classifier. For snippet texts, both the real and ML predictions are reported.
[more]
Contributed by: Jessica Alfonsi (January 2024)
(Padova, Italy)
Open content licensed under CC BY-NC-SA
Snapshots
Details
Letter excerpts authored by Mozart and Empress Maria Theresa in German language were taken from [1, 2].
Emperor Joseph II 's letter excerpts alongside others from his mother Maria Theresa were taken from the classical biography Joseph II by Francois Fejto's.
English translations from German were carried out by the author.
References
[1] Anzeige. Projekt Gutenberg-DE. (Dec 21, 2023) www.projekt-gutenberg.org/mariathe/fambrief/fambrief.html.
[2] Mozarts Briefe. Projekt Gutenberg-DE. (Dec 21, 2023) www.projekt-gutenberg.org/mozart/briefe.
Permanent Citation