Profiling a Set of Personality Traits of a Text’s Author: A Corpus-Based Approach
Authorship profiling, i.e. revealing information about an unknown author by analyzing their text, is a task of growing importance. Researchers are currently attempting to identify certain psychological characteristics of a text’s author (extraversion, openness, etc.). However, it is well-known that a lot of psychological traits mutually correlate making up what is known as a personality psychological profile. The aim of the study is to assess the probability of self-destructive behaviour of an individual as a set of particular traits via formal parameters of their texts. Here we have used corpus RusPersonality, which consists of Russian-language texts labeled with information on their authors. A set of correlations between scores on the Freiburg Personality Inventory scales that are known to be indicative of self-destructive behaviour and text variables has been calculated. A mathematical model which predicts the probability of self-destructive behaviour has been obtained.
KeywordsAuthorship profiling Russian language Corpus linguistics Predicting personality from text Regression
Funding of the project “Predicting the probability of suicide behavior based on speech analysis” from RF President’s grants for young scientists (grant agreement N° MК-4633.2016.6) for T. L. and from the Russian Foundation for Humanities (grant N 15-34-01221 “Lie Detection in a Written Text: A Corpus Study”) for O.L. and P.S. is gratefully acknowledged.
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