Topic Modeling of Social Networking Service Data on Occupational Accidents in Korea: Latent Dirichlet Allocation Analysis.

ABSTRACT:

Background

In most industrialized societies, regulations, inspections, insurance, and legal options are established to support workers who suffer injury, disease, or death in relation to their work; in practice, these resources are imperfect or even unavailable due to workplace or employer obstruction. Thus, limitations exist to identify unmet needs in occupational safety and health information.

Objective

The aim of this study was to explore hidden issues related to occupational accidents by examining social network services (SNS) data using topic modeling.

Methods

Based on the results of a Google search for the phrases occupational accident, industrial accident and occupational diseases, a total of 145 websites were selected. From among these websites, we collected 1

SUBMITTER: Min KB 

PROVIDER: S-EPMC7453332 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature