The research that is being carried out in our Laboratory deals with identification of linguistic features of texts of males and females, people of different ages, psychological types, etc. and development of methods of distinguishing stable personality traits and conditions based on linguistic text analysis.
A written text as a linguistic and cognitive product inadvertently reveals a lot about whoever wrote, i.e. their gender, age, psychological characteristics, education level, occupation, etc. There has been a growing need to identify people’s individual characteristics as more and more communication takes place over the Internet. It is in businesses’ interest to get feedback about their products and services. It is usually crucial to find out who wrote anonymous messages (as well as electronic ones) that contain threats, etc.
According to the research, speech is a valuable psychodiagnostic tool that is employed by HRs of large corporations as well as security personnel. Researchers working on this issue (linguists, psychologists, information technology and data analysis experts) are designing mathematical models for identification of personality traits based on numerical values of text parameters. There are special contests being held to find the most accurate models (PAN). Attempts to address this issue using Russian materials have only been recently made. In our Laboratory we see it as our goal to develop and promote relevant studies in the field.
We are making use of a corpus approach, methods of mathematical statistics and big data analysis as well as cutting-edge tools for automatic processing of texts (natural language processing) relying on the extensive body of research conducted by the famous Soviet and Russian sociolinguists, psycholinguists, authorship attribution specialists.
The major issues we are working on tackling as part of the work we are doing are as follows:
- Designing text corpora containing metadata with information about their authors;
- Identifying linguistic features of texts by individuals of different age and social groups, etc.;
- Lexicographical profiling of social groups;
- Developing methods of identifying gender and age of text authors including cases when properties of written texts are falsified;
- Developing methods of identifying psychological traits of individuals to cater for the emerging demands of HR services;
- Distinguishing linguistic features of texts by individuals suffering from depression, dementia, schizophrenia, bipolar disorder;
- Developing methods of identifying auto-aggressive as well as suicidal tendencies;
- Exposing linguistic features of texts by individuals with different profiles of functional sensomotor asymmetry;
- Detecting deception in texts.
The studies conducted by the staff of our Laboratory are supported by the Grants of the Russian Foundation for Basic Research (RFBR), Russian Humanitarian Science Foundation (RHSF) (currently – Department of Humanitarian and Social Science of RFBR), Russian Science Foundation (RSF), the Ministry of Education and Science of the Russian Federation.
The Laboratory is in collaboration with the leading universities of Russia and overseas, large corporations, social institutions.