Ant Colony Optimisation for Stylometry: The Federalist Papers
نویسنده
چکیده
This paper describes the use of Ant Colony Optimisation for the classification of works of disputed authorship, in this case the Federalist Papers.Classification accuracy was 79.1%, which compares reasonably well with previous work on the same data set using neural networks and genetic algorithms. Although statistical approaches have performed much better than this, the advantage of a rule-based approach is the ability to produce readily intelligible criteria for the classification decisions made.
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