Abstract
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.
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Acknowledgments
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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Litvinova, T., Zagorovskaya, O., Litvinova, O., Seredin, P. (2016). Profiling a Set of Personality Traits of a Text’s Author: A Corpus-Based Approach. In: Ronzhin, A., Potapova, R., Németh, G. (eds) Speech and Computer. SPECOM 2016. Lecture Notes in Computer Science(), vol 9811. Springer, Cham. https://doi.org/10.1007/978-3-319-43958-7_67
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DOI: https://doi.org/10.1007/978-3-319-43958-7_67
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