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2016 | 14 | 4 | 409-422

Article title

Profiling a set of personality traits of text author: what our words reveal about us

Content

Title variants

Languages of publication

EN

Abstracts

EN
Authorship profiling, i.e. revealing information about an unknown author by analyzing their text, is a task of growing importance. One of the most urgent problems of authorship profiling (AP) is selecting text parameters which may correlate to an author’s personality. Most researchers’ selection of these is not underpinned by any theory. This article proposes an approach to AP which applies neuroscience data. The aim of the study is to assess the probability of selfdestructive behaviour of an individual via formal parameters of their texts. Here we have used the “Personality Corpus”, which consists of Russian-language texts. A set of correlations between scores on the Freiburg Personality Inventory scales that are known to be indicative of self-destructive behaviour (“Spontaneous Aggressiveness”, “Depressiveness”, “Emotional Lability”, and “Composedness”) and text variables (average sentence length, lexical diversity etc.) has been calculated. Further, a mathematical model which predicts the probability of selfdestructive behaviour has been obtained.

Year

Volume

14

Issue

4

Pages

409-422

Physical description

Dates

published
2016-12-30

Contributors

  • Voronezh State Pedagogical University
author

References

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Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.ojs-doi-10_1515_rela-2016-0019
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