Text Analysis for Understanding Symptoms of Social Anxiety in Student Veterans
Text Analysis for Understanding Symptoms of Social Anxiety in Student Veterans
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DOI：
10.1609/aaai.v35i18.17975
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发表时间：
2021-05
期刊：
影响因子：
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通讯作者：
Morgan Byers;V. Metsis
中科院分区：
文献类型：
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作者：
Morgan Byers;V. Metsis
很大一部分退伍军人患有创伤后应激障碍（PTSD），这是一种通常伴有社交焦虑症的精神疾病。退伍军人在努力适应新的、结构松散的大学生活方式时尤其容易受到伤害。为了帮助心理学家和社会工作者治疗社交焦虑症，我们使用机器学习来分析转录的采访文本，并应用主题建模来突出学生退伍军人的常见压力因素。本文详述的结果还在教育学和公共卫生等领域产生更广泛的影响。
A significant portion of the veteran population suffers from PTSD, a mental illness that is often accompanied by social anxiety disorder. Student veterans are especially vulnerable as they struggle to adapt to a new, less structured college lifestyle. In order to assist psychologists and social workers in the treatment of social anxiety disorder we use machine learning to analyze transcribed interview text and apply topic modelling to highlight common stress factors for student veterans. The results detailed in this paper also have broader impacts in fields such as pedagogy and public health.