Examining the Twitter messages of the Minister of National Education with the text mining method during the COVID-19 pandemic process

The aim of this research is to shed light on the use of text mining method, one of the most demanded topics of today, in the field of education in order to extract meaningful information from the large amount of data that has increased with the widespread use of the internet. This cross-sectional descriptive study is a qualitative research that analyzes the content of the messages shared between 23 March 2020 - 17 October 2020 with the Text mining method by Turkey's National Education Minister Ziya SELÇUK via his twitter social media account to direct the education wholesomely in the distance education process, to announce developments and to indicate that he is always and in all situations with the parents and the students. The data obtained in the study were analyzed with dictionary counting technique and visualized with word cloud technique. 12 words, which were thought to reflect the process, were selected and their frequencies were determined using the dictionary counting technique. Later, the words were combined into 4 main categories and a chi-square homogeneity test was performed in the SPSS program. It has been compared according to the categories and the percentage of use of words.