Results 151 to 160 of about 1,422 (196)

Stylometry in manuscript studies!?

The Dragonfly's Gaze, 2012
openaire   +2 more sources

Generative AI and health misinformation: production, propagation, and mitigation-a systematic review. [PDF]

BMC Public Health
Saeidnia HR, Jahani S, Ghiasi N, Keshavarz H.   +3 more
europepmc   +1 more source

Exploiting Data Distribution: A Multi-Ranking Approach. [PDF]

Entropy (Basel)
Zielosko B, Jabloński K, Dmytrenko A.
europepmc   +1 more source

Forensic Assignment Stylometry [PDF]

, 2023
This chapter discusses the stylometry of portfolios of assignments submitted by individual students from the perspective of evidence gathering in cases of suspected contract cheating.
Crockett, Robin; id_orcid
exaly   +3 more sources

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 ...
Simone Rebora, Massimo Salgaro
exaly   +3 more sources

Intrinsic Plagiarism Detection Using Latent Semantic Indexing and Stylometry

, 2013
Plagiarism is growing increasingly for the last few years due to the rapid proliferation of information through the World Wide Web (WWW). In this paper, we present an integrated approach based on Latent Semantic Indexing (LSI) and Stylometry technique ...
Muna Alsallal, Anne James, Rahat Iqbal
exaly   +2 more sources

Empirical Mode Decomposition Analysis for Visual Stylometry

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
In 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 ...
Daniel Nahum Rockmore, Qiang Wu, Yang Wang   +2 more
exaly   +2 more sources

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Compression and stylometry for author identification

2009 International Joint Conference on Neural Networks, 2009
In this paper we compare two different paradigms for author identification. The first one is based on compression algorithms where the entire process of defining and extracting features and training a classifier is avoided. The second paradigm, on the other hand, takes into account the classical pattern recognition framework, where linguistic features ...
Daniel Pavelec, Luiz S. Oliveira, Edson J. R. Justino, Francisco D. Nobre Neto, Leonardo Vidal Batista   +4 more
openaire   +1 more source

Stylometry of Dickens’s Language

2014
Textual 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 ...
openaire   +1 more source