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Compatibility between Text Mining and Qualitative Research in the Perspectives of Grounded Theory, Content Analysis, and Reliability

机译：从扎实的理论，内容分析和可靠性的角度来看文本挖掘与定性研究之间的兼容性

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摘要

The objective of this article is to illustrate that text mining and qualitative research are epistemologically compatible. First, like many qualitative research approaches, such as grounded theory, text mining encourages open-mindedness and discourages preconceptions. Contrary to the popular belief that text mining is a linear and fully automated procedure, the text miner might add, delete, and revise the initial categories in an iterative fashion. Second, text mining is similar to content analysis, which also aims to extract common themes and threads by counting words. Although both of them utilize computer algorithms, text mining is characterized by its capability of processing natural languages. Last, the criteria of sound text mining adhere to those in qualitative research in terms of consistency and replicability.
机译：本文的目的是说明文本挖掘和定性研究在认识论上是兼容的。首先，像许多定性研究方法一样，例如扎根理论，文本挖掘鼓励开明思想并阻止成见。与普遍认为文本挖掘是一种线性且完全自动化的过程相反，文本挖掘器可能以迭代方式添加，删除和修改初始类别。其次，文本挖掘类似于内容分析，它的目的还在于通过对单词进行计数来提取共同的主题和主题。尽管它们都利用计算机算法，但是文本挖掘的特征在于其处理自然语言的能力。最后，在一致性和可复制性方面，声音文本挖掘的标准与定性研究的标准一致。

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