Ordinal measures in authorship identification∗
نویسندگان
چکیده
The goal of this paper is to compare a set of distance/similarity measures, regarding theirs ability to reflect stylistic similarity between authors and texts. To assess the ability of these distance/similarity functions to capture stylistic similarity between texts, we tested them in one of the most frequently employed multivariate statistical analysis settings: cluster analysis. The experiments are done on a corpus of 30 English books written by British, American and Australian writers.
منابع مشابه
Implementation of Palm Print Biometric Identification System Using Ordinal Measures
Personal identification is one of the most important requirements in all e-commerce and criminal detection applications. In this framework, a novel palm print representation method, namely orthogonal line ordinal features, is proposed. The palm print registration, feature extraction, palm print verification and palm print recognition modules are designed to manage the palm prints and the palm p...
متن کاملFuzzy measures and integrals in MCDA
This chapter aims at a unified presentation of various methods of MCDA based on fuzzy measures (capacity) and fuzzy integrals, essentially the Choquet and Sugeno integral. A first section sets the position of the problem of multicriteria decision making, and describes the various possible scales of measurement (cardinal unipolar and bipolar, and ordinal). Then a whole section is devoted to each...
متن کاملA Novel Method for Detection of Epilepsy in Short and Noisy EEG Signals Using Ordinal Pattern Analysis
Introduction: In this paper, a novel complexity measure is proposed to detect dynamical changes in nonlinear systems using ordinal pattern analysis of time series data taken from the system. Epilepsy is considered as a dynamical change in nonlinear and complex brain system. The ability of the proposed measure for characterizing the normal and epileptic EEG signals when the signal is short or is...
متن کاملUnsupervised Method for the Authorship Identification Task
This paper presents an approach for tackling the authorship identification task. The approach is based on comparing the similarity between a given unknown document against the known documents using a number of different phrase-level and lexical-syntactic features, so that an unknown document can be classified as having been written by the same author, if the different similarity measures obtain...
متن کاملIris Recognition Based on Non-local Comparisons
Iris recognition provides a reliable method for personal identification. Inspired by recent achievements in the field of visual neuroscience, we encode the non-local image comparisons qualitatively for iris recognition. In this scheme, each bit iris code corresponds to the sign of an inequality across several distant image regions. Compared with local ordinal measures, the relationships of diss...
متن کامل