https://oldena.lpnu.ua/handle/ntb/56813| Title: | Linguistic Characteristics of Combat Post-Traumatic Stress Disorder in a Trauma Related Narrative: Computational Context-Aware Approach |
| Authors: | Didushok, Valeriia Khairova, Nina |
| Affiliation: | National Technical University “Kharkiv Polytechnic Institute” |
| Bibliographic description (Ukraine): | Didushok V. Linguistic Characteristics of Combat Post-Traumatic Stress Disorder in a Trauma Related Narrative: Computational Context-Aware Approach / Valeriia Didushok, Nina Khairova // Computational linguistics and intelligent systems, 22-23 April 2021, Kharkiv. — Lviv ; Kharkiv, 2021. — Vol Vol. II : Proceedings of the 5th International conference, COLINS 2021, Workshop, Kharkiv, Ukraine, April 22-23. — P. 110–112. |
| Bibliographic description (International): | Didushok V. Linguistic Characteristics of Combat Post-Traumatic Stress Disorder in a Trauma Related Narrative: Computational Context-Aware Approach / Valeriia Didushok, Nina Khairova // Computational linguistics and intelligent systems, 22-23 April 2021, Kharkiv. — Lviv ; Kharkiv, 2021. — Vol Vol. II : Proceedings of the 5th International conference, COLINS 2021, Workshop, Kharkiv, Ukraine, April 22-23. — P. 110–112. |
| Is part of: | Computational linguistics and intelligent systems, 2021 |
| Issue Date: | 4-May-2021 |
| Place of the edition/event: | Львів ; Харків Lviv ; Kharkiv |
| Temporal Coverage: | 22-23 April 2021, Kharkiv |
| Keywords: | PTSD combat content analysis linguistic analysis BERT linguistic features anomaly detection context-aware models |
| Number of pages: | 3 |
| Page range: | 110-112 |
| Start page: | 110 |
| End page: | 112 |
| Abstract: | 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. |
| URI: | https://ena.lpnu.ua/handle/ntb/56813 |
| ISSN: | 2523-4013 |
| Copyright owner: | copyrighted by its editors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). © 2021 Copyright for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and |
| URL for reference material: | http://liwc.wpengine.com/wpcontent/uploads/2015/11/LIWC2015_OperatorManual.pdf |
| References (Ukraine): | [1] B. Busch, T. McNamara, Language and Trauma: An Introduction, Applied Linguistics, 2020. 41, 323–333. doi.org/10.1093/applin/amaa002 [2] J.W. Pennebaker, R.E. Booth, M.E. Francis, Linguistic Inquiry and Word Count: LIWC2015 – Operator's Manual, Austin, TX, 2015. URL: http://liwc.wpengine.com/wpcontent/uploads/2015/11/LIWC2015_OperatorManual.pdf [3] B. Kleim, A. B. Horn, R. Kraehenmann, M. R. Mehl, A. Ehlers, Early Linguistic Markers of Trauma-Specific Processing Predict Post-trauma Adjustment. Frontiers in Psychiatry 9, 2018. doi.org/10.3389/fpsyt.2018.00645 |
| References (International): | [1] B. Busch, T. McNamara, Language and Trauma: An Introduction, Applied Linguistics, 2020. 41, 323–333. doi.org/10.1093/applin/amaa002 [2] J.W. Pennebaker, R.E. Booth, M.E. Francis, Linguistic Inquiry and Word Count: LIWC2015 – Operator's Manual, Austin, TX, 2015. URL: http://liwc.wpengine.com/wpcontent/uploads/2015/11/LIWC2015_OperatorManual.pdf [3] B. Kleim, A. B. Horn, R. Kraehenmann, M. R. Mehl, A. Ehlers, Early Linguistic Markers of Trauma-Specific Processing Predict Post-trauma Adjustment. Frontiers in Psychiatry 9, 2018. doi.org/10.3389/fpsyt.2018.00645 |
| Content type: | Article |
| Appears in Collections: | Computational linguistics and intelligent systems. – 2021 р. |
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