(2021-05-04) Didushok, Valeriia; Khairova, Nina; National Technical University “Kharkiv Polytechnic Institute”
These days, an increased prevalence of post-traumatic stress disorder (PTSD) and severe
depression has been reported in populations exposed to war. This paper introduces using
linguistic analysis of trauma narratives in the context of the study of post-traumatic stress
disorder of combatants. As a subject of the analysis, posts of people who participated in
combat, obtained from topic-related discussion boards were used. The approach utilizes
vocabulary adaptation in NLP using the pre-trained language BERT model in addition to
descriptive statistics obtained from text. The novelty of the research lies in the use of a
context-sensitive model, while most of the existing research in this area is based on statistical
models that use statistical inference to discover hidden patterns.
