RusNeuroPsych: Open Corpus for Study Relations between Author Demographic, Personality Traits, Lateral Preferences and Affect in Text

Tatiana Litvinova, Ekarerina Ryzhkova


A text reflects a range of combinations of individual inter-acting characteristics of its author, both stable (gender, psychological traits, neuropsychological characteristics) and variable (feelings, emotions). It is obvious that it is not in isolation but in a combination that a variety of characteristics comes forth in a text. For example, according to some studies, men and women express their emotions in a text in different ways. It is obvious, though that there are other characteristics that influence the way one chooses to express his/her emotions. Studies of these ways are critical multidisciplinary problems that call for text corpora providing relevant metadata. The paper is devoted to the description of a manually collected corpus of texts (letters to a friend and narratives about pictures from Thematic apperception test, i.e. informal writing describing emotions and opinions) in the Russian language RusNeuroPsych, containing metalabelling in the form of information about their authors (gender, age, psychological testing scores, brain laterality preferences). To the best of our knowledge, this is a unique corpus in terms of breadth of metadata about the authors. The corpus is freely available on RusProfiling Lab webpage. The collection and processing of the material to design the corpus, its composition and structure are considered. The possibilities of the application of RusNeuroPsych corpus in different domains of knowledge are analyzed.

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