This paper aims to assess internal audit quality (IAQ) by using automated textual analysis of disclosures of internal audit mechanisms in annual reports.,This paper uses seven text mining techniques to construct classification models that predict whether companies listed on the Athens Stock Exchange are audited by a Big 4 firm, an auditor selection that prior research finds is associated with higher IAQ. The classification accuracy of the models is compared to predictions based on financial indicators.,The results show that classification models developed using text analysis can be a promising alternative proxy in assessing IAQ. Terms, N-Grams and financial indicators of a company, as they are presented in the annual reports, can provide information on the IAQ.,This study offers a novel approach to assessing the IAQ by applying textual analysis techniques. These findings are important for those who oversee internal audit activities, assess internal audit performance or want to improve or evaluate internal audit systems, such as managers or audit committees. Practitioners, regulators and investors may also extract useful information on internal audit and internal auditors by using textual analysis. The insights are also relevant for external auditors who are required to consider various aspects of corporate governance, including IAQ.,IAQ has been the subject of thorough examination. However, this study is the first attempt, to the authors’ knowledge, to introduce an innovative text mining approach utilizing unstructured textual disclosure from annual reports to develop a proxy for IAQ. It contributes to the internal audit field literature by further exploring concerns relevant to IAQ.

中文翻译：

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使用文本分析对内部审计质量进行分类：选择审计师的案例

本文旨在通过对年度报告中内部审计机制的披露进行自动文本分析来评估内部审计质量（IAQ）。本文使用七种文本挖掘技术来构建分类模型，以预测在雅典证券交易所上市的公司是否受到审计一家四大会计师事务所的调查表明，先前研究发现的审计师选择与较高的IAQ有关。将模型的分类准确性与基于财务指标的预测进行比较。结果表明，使用文本分析开发的分类模型可以作为评估IAQ的有希望的替代方法。年度报告中介绍的公司术语，N语法和财务指标可以提供有关IAQ的信息。这项研究提供了一种应用文本分析技术评估室内空气质量的新颖方法。这些发现对于监督内部审计活动，评估内部审计绩效或想要改善或评估内部审计系统的人员（例如经理或审计委员会）而言非常重要。从业者，监管者和投资者也可以使用文本分析来提取有关内部审计和内部审计师的有用信息。这些见解也与需要考虑公司治理各个方面（包括IAQ）的外部审计师有关。IAQ已成为全面检查的主题。然而，据作者所知，这项研究是尝试引入创新的文本挖掘方法的首次尝试，该方法利用了年度报告中的非结构化文本披露来开发IAQ的代理。