Rank Distance as a Stylistic Similarity
Marius Popescu, Liviu P. Dinu · 2008
In this paper we propose a new distance function (rank distance) designed to reflect stylistic similarity between texts. To assess the ability of this distance measure to capture stylistic similarity between texts, we tested it in two different machine learning settings: clustering and binary classification. 1