Abstract
Text mining is a method that relies on the text as the source and aims to get the data through the text. This method has a strong potential in obtaining real-time findings and effective results in terms of the evaluation of large data sets. It is valuable to understand the people and the whole picture by using such powerful and effective methods obtained from rich sources like new media. In this context, the aim of this study is to define the basic tendencies and the changes that happened in the studies on new media and text mining in the last decade. This study analyses 82 articles published on Google Scholar between 2013 and 2023. The articles were analysed using a systematic analysis method which contains specific criteria in accordance with the aim of this research.
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