%0杂志文章%@ 2561-326X %I JMIR出版物%V 6% 卡塔尔世界杯8强波胆分析N 9% P 30113% T大声思考或尖叫内心:Hoque Tania,Marzia %A Hossain,Md Razon %A Jahanara,Nuzhat %A Andreev,Ilya %A Clifton,David生物医学工程研究所，牛津大学工程科学系CHI实验室，牛津，OX3 7DQ，英国，44 1865617670，marzia.hoquetania@eng.ox.ac.uk %K与工作有关的心理健康%K情感分析%K自然语言处理%K职业健康%K贝叶斯推理%K机器学习%K人工智能%K手机%D 2022 %7 30.9.2022 %9原始论文%J JMIR表单Res %G英语%X背景:每年有数百万工人经历与工作有关的健康不佳。由于工作场所造成的不适和压力，工作日的损失通常会导致健康状况不佳。当前的大流行以及大流行后社会经济和工作文化的转变可能继续导致与工作有关的不良情绪。这项研究对最先进的技术进行了批判性调查，确定了在认识工人对福利支持的需求方面的研究差距，我们希望了解如何收集这些证据来改变劳动力和工作场所。目的:基于情绪分析的最新进展，本研究旨在仔细研究社交媒体作为评估员工对工作场所情绪的工具的潜力。方法:本研究收集了一个大型Twitter数据集，包括大流行和大流行前的推文，通过人在环的方法结合无监督学习和元启发式优化算法来促进。通过自然语言处理技术预处理的原始数据使用生成统计模型和基于词汇辅助规则的模型进行评估，将词汇特征映射到情绪强度。这项研究还分配了人工注释，并进行了与工作相关的情绪分析。 Results: A mixed methods approach, including topic modeling using latent Dirichlet allocation, identified the top topics from the corpus to understand how Twitter users engage with discussions on work-related sentiments. The sorted aspects were portrayed through overlapped clusters and low intertopic distances. However, further analysis comprising the Valence Aware Dictionary for Sentiment Reasoner suggested a smaller number of negative polarities among diverse subjects. By contrast, the human-annotated data set created for this study contained more negative sentiments. In this study, sentimental juxtaposition revealed through the labeled data set was supported by the n-gram analysis as well. Conclusions: The developed data set demonstrates that work-related sentiments are projected onto social media, which offers an opportunity to better support workers. The infrastructure of the workplace, the nature of the work, the culture within the industry and the particular organization, employers, colleagues, person-specific habits, and upbringing all play a part in the health and well-being of any working adult who contributes to the productivity of the organization. Therefore, understanding the origin and influence of the complex underlying factors both qualitatively and quantitatively can inform the next generation of workplaces to drive positive change by relying on empirically grounded evidence. Therefore, this study outlines a comprehensive approach to capture deeper insights into work-related health. %M 36178712 %R 10.2196/30113 %U https://formative.www.mybigtv.com/2022/9/e30113 %U https://doi.org/10.2196/30113 %U http://www.ncbi.nlm.nih.gov/pubmed/36178712