A Survey on Stylometric Text Features

Ways of individual style expression in a natural language include amongst other things stylometric features. These can be automatically detected with the use of computational linguistics methods. In this survey we systematize the recent studies devoted to extraction and application of stylometric fe...

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Bibliographic Details
Published inProceedings of the XXth Conference of Open Innovations Association FRUCT pp. 184 - 195
Main Authors Lagutina, Ksenia, Lagutina, Nadezhda, Boychuk, Elena, Vorontsova, Inna, Shliakhtina, Elena, Belyaeva, Olga, Paramonov, Ilya, Demidov, P.G.
Format Conference Proceeding
LanguageEnglish
Published FRUCT 01.11.2019
Subjects
Correlation
Feature extraction
Natural language processing
Task analysis
Technological innovation
Text categorization
Text processing
Online AccessGet full text
ISSN2305-7254
DOI10.23919/FRUCT48121.2019.8981504

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Summary:Ways of individual style expression in a natural language include amongst other things stylometric features. These can be automatically detected with the use of computational linguistics methods. In this survey we systematize the recent studies devoted to extraction and application of stylometric features in solving natural language processing tasks: authorship attribution, authorship verification, style change detection, authorship profiling, and text classification by genre and sentiment. For that purpose we define stylometric feature categories that provide for the most effective solutions, discuss reasons for their successful application, touch upon the limitations of approaches based on their application, and make suggestions for future research.
ISSN:2305-7254
DOI:10.23919/FRUCT48121.2019.8981504