J Korean Diet Assoc.  2017 May;23(2):192-201. 10.14373/JKDA.2017.23.2.192.

Comparison of the Center for Children's Foodservice Management in 2012, 2014, and 2016 Using Big Data and Opinion Mining

• Jung EJ
• Chang UJ

• KMID: 2406215
• DOI: http://doi.org/10.14373/JKDA.2017.23.2.192

Abstract

This study compared the Center for Children's Foodservice Management in 2012, 2014, and 2016 using big data and opinion mining. The data on the Center for Children's Foodservice Management were collected from the portal site, Naver, from January 1 to December 31 in 2012, 2014, & 2016 and analyzed by keyword frequency analysis, influx route analysis of data, polarity analysis via opinion mining, and positive and negative keyword analysis by polarity analysis. The results showed that nursery had the highest rank every year and education supported by Center for Children's Foodservice Management has increased significantly. The influx of data has increased through the influx route analysis of data. Blog and cafée, which have a considerable amount of information by the mother should be helpful for use as public relations and participation recruitment paths. By polarity analysis using opinion mining, the positive image of the Center for Children's Foodservice Management was increased. Therefore, the Center for Children's Foodservice Management was well-suited to the purpose and the interests of the people has been increasing steadily. In the near future, the Center for Children's Foodservice Management is expected have good recognition if various programs to participate with family are developed and advertised.

Keyword

big data; opinion mining; Center for Children's Foodservice Management

MeSH Terms

Education
Humans
Mining*
Mothers
Nurseries
Public Relations