Social anxiety represents a prevalent challenge in modern society, affecting individuals across personal and professional spheres. Left unaddressed, this condition can yield substantial negative consequences, impacting social interactions and performance. Further understanding its diverse physical and emotional symptoms becomes pivotal for comprehensive diagnosis and tailored therapeutic interventions. This study analyze prevalence and frequency of social anxiety symptoms taken from Mayo Clinic, exploring diverse human experiences from utilizing a large Reddit dataset dedicated to this issue. Leveraging these platforms, the research aims to extract insights and examine a spectrum of physical and emotional symptoms linked to social anxiety disorder. Upholding ethical considerations, the study maintains strict user anonymity within the dataset. By employing a novel approach, the research utilizes BART-based multi-label zero-shot classification to identify and measure symptom prevalence and significance in the form of probability score for each symptom under consideration. Results uncover distinctive patterns: "Trembling" emerges as a prevalent physical symptom, while emotional symptoms like "Fear of being judged negatively" exhibit high frequencies. These findings offer insights into the multifaceted nature of social anxiety, aiding clinical practices and interventions tailored to its diverse expressions.

翻译：社交焦虑是现代社会中普遍存在的挑战，影响着个体在个人与职业领域的方方面面。若不加干预，该状况可能导致严重的负面后果，损害社交互动与表现能力。深入理解其多样化的躯体与情绪症状，对于实现全面诊断和个性化治疗干预至关重要。本研究分析了来自梅奥诊所（Mayo Clinic）的社交焦虑症状出现率与频率，通过利用专注于该问题的Reddit大型数据集，探索了多样化的人类体验。借助这些平台，本研究旨在提取洞察，并考察与社交焦虑障碍相关的系列躯体与情绪症状。秉持伦理考量，本研究严格保持数据集中用户匿名性。通过采用新方法，本研究利用基于BART的多标签零样本分类，以概率分数形式识别并衡量每种待研究症状的普遍性及其显著性。结果揭示了独特模式："颤抖"是常见的躯体症状，而"害怕被负面评价"等情绪症状则表现出高频率。这些发现揭示了社交焦虑的多面性，有助于针对其多样化表现定制临床实践与干预措施。