Thinking Aloud or Screaming Inside: Exploratory Study of Sentiment Around Work.

Marzia Hoque Tania,Md Razon Hossain, Nuzhat Jahanara, Ilya Andreev,David A Clifton

JMIR formative research(2022)

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摘要
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.
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关键词
Bayesian inference,artificial intelligence,machine learning,mobile phone,natural language processing,occupational health,sentiment analysis,work-related mental health
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