Author attribution on paragraph level using simulated annealing
Publication date
2016-09
Authors
Schraagen, M.P.
van Miert, Dirk
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Abstract
Authorship attribution, i.e., determining the author of a document automatically based on a reference corpus, is an established topic in computational linguistics and Digital Humanities. However, state of the art techniques are generally applied to documents of 5000 words or more. This research explores a method to attribute authorship on paragraph level, using simulated annealing to incrementally increase the accuracy of classification.
Keywords
author attribution, Enlightenment philosophy, simulated annealing
Citation
Schraagen, M P & van Miert, D K W 2016, Author attribution on paragraph level using simulated annealing. in Proceedings of Benelearn 2016. The 25th Belgian-Dutch Conference on Machine Learning (Benelearn) , Kortrijk, Belgium, 12/09/16., conference