Sep 11, 2018 · Authorship attribution aims at identifying the original author of an anonymous text from a given set of candidate authors and has a wide ...
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This paper proposes a novel data representation model that captures stylistic variations within each document, which transforms the problem of authorship ...
Abstract ; Publication: IEEE Access ; Pub Date: 2018 ; DOI: 10.1109/ACCESS.2018.2869198 ; Bibcode: 2018IEEEA...650030S.
An Effective and Scalable Framework for Authorship Attribution Query Processing ; Online published, 10 Sept 2018 ; Publication status, Published - 2018 ...
Therefore, performing NLI with UGC can be useful in several areas such as forensic linguistics, author profiling, and authorship identification [9,18, 29, 30,34 ...
Abstract—Stylometry is the statistical analyses of variations in the author's literary style. The technique has been used in many linguistic analysis ...
2020. A scalable framework for stylometric analysis query processing. S ... An effective and scalable framework for authorship attribution query processing.
An efficient and scalable SPARQL query processing framework for big data using MapReduce and hybrid optimum load balancing. Author links open overlay panel. V.
An authorship identification solution that uses the probabilistic k nearest neighbors classifier by transforming each document into a collection of point ...
Jan 9, 2020 · Authorship identification helps to identify the true author of a given anonymous document from a set of candidate authors.