The Use of Text Mining in New Media Studies: A Systematic Review

Derya Şahi̇n
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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.
文本挖掘在新媒体研究中的应用:系统回顾
文本挖掘是一种以文本为源,旨在通过文本获取数据的方法。在评估大型数据集方面,这种方法在获得实时发现和有效结果方面具有强大的潜力。利用这种从新媒体等丰富资源中获得的强大而有效的方法来了解人群和全局是非常有价值的。在这种情况下,本研究的目的是确定过去十年中新媒体和文本挖掘研究的基本趋势和发生的变化。本研究分析了 2013 年至 2023 年在谷歌学术上发表的 82 篇文章。文章采用系统分析方法进行分析,该方法包含与本研究目的相符的特定标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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