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Stylometry of Dickensâs Language
2014Textual analysis often begins with identifying ‘key’ words of a text, on the assumption that keywords reflect what the text is really about—and likely the stylistic features of the text as well. In corpus linguistics, ‘key-words of a text, in the sense intended here, are words which can be shown to occur in the text with a frequency greater than the ...
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Intelligent workflows for visual stylometry
AI Matters, 2018Using Intelligent Workflows to Analyze Artistic Style USC Information Sciences Institute (ISI) alumnus Ricky J. Sethi and his colleagues at Fitchburg State University in Massachusetts are using ISI's WINGS workflow system for art history in the WAIVS (Workflows for Analysis of Images and Visual Stylometry) project.
Catherine A. Buell +3 more
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Stylometry-Based Authorship Identification
2023The Internet has helped to collect and exchange information and data with its constant expansion and evolution for devices to be intertwined with each other. These advances provide invaluable information about people and issues related to their lives including behaviors, interests, and preferences which have brought about the Internet of Behaviors (IoB)
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Empirical Mode Decomposition Analysis for Visual Stylometry
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012In this paper, we show how the tools of empirical mode decomposition (EMD) analysis can be applied to the problem of “visual stylometry,” generally defined as the development of quantitative tools for the measurement and comparisons of individual style in the visual arts.
Hughes, James Michael +4 more
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Computational Stylistics and Stylometry
Computational stylistics is a subfield of stylistics in literary studies, extending traditional methods through computational means. We reconstruct its history by focusing on the field of stylometry, which statistically analyzes linguistic patterns to provide authorship attribution and to study literary texts in a “distant reading” perspective.Salgaro Massimo, Rebora Simone.
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Stylometry Detection Using Deep Learning
2017Author profiling is one of the active researches in the field of data mining. Rather than only concentrated on the syntactic as well as stylometric features, this paper describes about more relevant features which will profile the authors more accurately.
K. Surendran +4 more
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