Comparing Statistical Similarity Measures for Stylistic Multivariate Analysis
Marius Popescu, Liviu P. Dinu · Recent Advances in Natural Language Processing · 2009
The goal of this paper is to compare a set of distance/similarity measures, some motivated statistically, others motivated stylistically, regarding their ability to reflect stylistic similarity between texts. To assess the ability of these distance/similarity functions to capture stylistic similarity between texts, we have tested them in the two most frequently employed multivariate statistical analysis settings: cluster analysis and (kernel) principal components analysis.