A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes-Oxley Act
Year of publication: |
2022
|
---|---|
Authors: | Davalos, Sergio ; Feroz, Ehsan H. |
Published in: |
Intelligent systems in accounting, finance & management. - New York, NY [u.a.] : Wiley, ISSN 2160-0074, ZDB-ID 2379344-2. - Vol. 29.2022, 1, p. 19-40
|
Subject: | accounting and auditing enforcement release (AAER) | bag of words | classification | data mining | K-NN | naive Bayes | Sarbanes Oxley Act 2002 | SEC | SOX 2002 | supervised learning | SVM | text mining | textual analysis | topic modeling | Internes Kontrollsystem | Internal control | USA | United States | Data Mining | Data mining | Wirtschaftsprüfung | Financial audit | Rechnungswesen | Accounting | Bilanzrecht | Accounting law | Finanzmarktaufsicht | Financial supervision | Unternehmenspublizität | Corporate disclosure | Text |
-
Change at last in auditing standards
Sy, Aida, (2013)
-
Assessing internal audit with text mining
Boskou, Georgia, (2018)
-
Text mining for U.S. pension de-risking analysis
Zhang, Limin, (2022)
- More ...
-
Davalos, Sergio, (2022)
-
Davalos, Sergio, (2014)
-
Davalos, Sergio, (2018)
- More ...