An Analysis on Teachers’ Organizations’ Operational Characteristics Using Text-Mining

The purpose of this study is to analyze Teachers’ Organizations’ Operational Characteristics by using text mining. To solve this research problem, press releases issued by Korean Federation of Teachers’ Associations(KFTA), Korean Teachers and Education Workers’ Union(KTU), and Korean Federation of Teachers Unions(KFTU) were collected, and the collected data were analyzed for keyword frequency analysis, centrality and network analysis, CONCOR analysis using Textom, UCINET. Through this, the following research results were derived. First, as a result of keyword frequency analysis, ‘teacher’, ‘education’, and ‘school’ were identified as the top keywords. Second, through keyword frequency analysis, it was possible to identify keywords that were ranked relatively higher by group or derived only from specific groups. Third, as a result of centrality analysis, the keyword with the highest degree centrality was ‘teacher’. Fourth, as a result of CONCOR analysis, 8 clusters were formed like ‘Response and support for civil complaints’, ‘Improvement of field-centered educational environment’, ‘Revision of the law for fair life guidance’, ‘Request for legislation through the National Assembly’, ‘The response to child abuse’, ‘Infringement and protection of teachers’ authority’, ‘Improving the school violence system’, ‘reduction of administrative work’. Based on these results, implications for the management of teachers’ organizations were presented.