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Authorship Forensics from Twitter Data
Daniel Lichtblau
Author
Daniel Lichtblau
Title
Authorship Forensics from Twitter Data
Description
Using tweets as training data to try to determine authorship of the 2018 New York Times's ‘Resistance’ op-ed. Third in a series of articles about determining authorship using known provenance and stylometry. Wolfram Language code attached.
Category
Essays, Posts & Presentations
Keywords
Computational Thinking, Current Events, Data Analysis and Visualization
URL
http://www.notebookarchive.org/2019-11-bjurjtx/
DOI
https://notebookarchive.org/2019-11-bjurjtx
Date Added
2019-11-25
Date Last Modified
2019-11-25
File Size
273.73 kilobytes
Supplements
2019-11-bjurjtx_Supplements.zip
Rights
Redistribution rights reserved
Cite this as: Daniel Lichtblau, "Authorship Forensics from Twitter Data" from the Notebook Archive (2019), https://notebookarchive.org/2019-11-bjurjtx
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