Publishing Partner: Cambridge University Press CUP Extra Publisher Login
amazon logo
More Info


New from Oxford University Press!

ad

The Language Hoax

By John H. McWhorter

The Language Hoax "argues that that all humans process life the same way, regardless of their language."


New from Cambridge University Press!

ad

Language and Development in Africa

By H. Ekkehard Wolff

Language and Development in Africa "discusses the resourcefulness of languages, both local and global, in view of the ongoing transformation of African societies as much as for economic development.. "


The LINGUIST List is dedicated to providing information on language and language analysis, and to providing the discipline of linguistics with the infrastructure necessary to function in the digital world. LINGUIST is a free resource, run by linguistics students and faculty, and supported primarily by your donations. Please support LINGUIST List during the 2016 Fund Drive.

Academic Paper


Title: Evaluating authorship distance methods using the positive Silhouette coefficient
Author: Robert Layton
Institution: University of Sheffield
Author: Paul Watters
Homepage: http://www.comp.mq.edu.au/~pwatters
Institution: University of Sheffield
Author: Richard Dazeley
Institution: The University of Ballarat
Linguistic Field: Computational Linguistics
Abstract: Unsupervised Authorship Analysis (UAA) aims to cluster documents by authorship without knowing the authorship of any documents. An important factor in UAA is the method for calculating the distance between documents. This choice of the authorship distance method is considered more critical to the end result than the choice of cluster analysis algorithm. One method for measuring the correlation between a distance metric and a labelling (such as class values or clusters) is the Silhouette Coefficient (SC). The SC can be leveraged by measuring the correlation between the authorship distance method and the true authorship, evaluating the quality of the distance method. However, we show that the SC can be severely affected by outliers. To address this issue, we introduce the Positive Silhouette Coefficient, given as the proportion of instances with a positive SC value. This metric is not easily altered by outliers and produces a more robust metric. A large number of authorship distance methods are then compared using the PSC, and the findings are presented. This research provides an insight into the efficacy of methods for UAA and presents a framework for testing authorship distance methods.

CUP AT LINGUIST

This article appears IN Natural Language Engineering Vol. 19, Issue 4, which you can READ on Cambridge's site or on LINGUIST .



Add a new paper
Return to Academic Papers main page
Return to Directory of Linguists main page