Today, software developers and computer scientists frequently use online information sharing platforms. StackOverflow is one of these important platforms. The analysis of the information shared in this environment can offer important implications in revealing current issues and trends. In this context, it is aimed to examine the tags of the posts shared on the StackOverflow platform in 2019. In this study, in which textual content analysis based on word frequency analysis was made, a data set was created with the tags used in StackOverflow posts, and the most used tags among these tags, whose acceleration increased and decreased, were analyzed. Detailed results were given on the fifty most used tags among the tags obtained as a result of this analysis. It has been observed that these 50 most used tags are clustered under six classes. Based on the results of the study, it can be said that current technologies, especially innovative web, mobile and non-relational database technologies, are generally used frequently and their acceleration has increased. In addition, it is clear that there is a strong Python-oriented trend in programming languages, tools and libraries. The results of the study are expected to provide important information to curriculum makers and decision-makers, especially software developers and individuals who have received training in this field and plan their career in this field. [ABSTRACT FROM AUTHOR]