Accepted for/Published in: JMIR Medical Informatics
Date Submitted: May 19, 2019
Date Accepted: Aug 30, 2019
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Mining Hidden Knowledge About Illegal Compensation for Occupational Injury: Topic Model Approach
Background:
Although injured employees are legally covered by workers’ compensation insurance in South Korea, some employers make agreements to prevent the injured employees from claiming their compensation. Thus, this leads to underreporting of occupational injury statistics. Illegal compensation (called
Objective:
This study aimed to analyze social media data using topic modeling to explore hidden knowledge about illegal compensation—
Methods:
We collected 2210 documents from social media data by filtering the keyword,
Results:
The LDA model was used to classify
Conclusions:
We explored hidden knowledge to identify the salient issues surrounding
Citation
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Copyright
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