Dataset Information

Identifying trends in nursing start-ups using text mining of YouTube content.

ABSTRACT: This study uses YouTube content to explore trends in nursing start-ups. YouTube content can be used to understand the current trends regarding interest and awareness in various fields. The study was conducted in three stages: text mining, Delphi survey, and comparison. The frequency and degree centrality of keywords were analyzed in the text mining stage. In the Delphi survey, the 100 most frequent keywords were classified using a synthesis framework for nursing start-ups. In the comparison stage, the results of text mining and the Delphi survey were matched using a 2x2 matrix. Text mining identified "area," "business," "competence," "idea," and "success" as the most commonly used keywords. The keywords that showed the highest level of classification agreement in Delphi were "motivation," "advice," "obstacle," "business," "charisma," and "result." In the comparison using a 2x2 matrix, "dream," "idea," "opportunity," "leadership," "success," "benefit," and "satisfaction" emerged. The results indicate that interest in nursing start-ups develops at an early stage. In order to encourage nursing start-ups, it is necessary to strengthen business skills such as finance and budgeting, establish active policy support for such start-ups, and develop new nursing start-up items appropriate for the Fourth Industrial Revolution.

SUBMITTER: Lim JY

PROVIDER: S-EPMC7018134 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Identifying trends in nursing start-ups using text mining of YouTube content.

Lim Ji Young JY Kim Seulki S Kim Juhang J Lee Seunghwan S

PloS one 20200213 2

This study uses YouTube content to explore trends in nursing start-ups. YouTube content can be used to understand the current trends regarding interest and awareness in various fields. The study was conducted in three stages: text mining, Delphi survey, and comparison. The frequency and degree centrality of keywords were analyzed in the text mining stage. In the Delphi survey, the 100 most frequent keywords were classified using a synthesis framework for nursing start-ups. In the comparison stag ...[more]

PMID: 32053627

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Identifying trends in nursing start-ups using text mining of YouTube content.

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Identifying trends in nursing start-ups using text mining of YouTube content.

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