Construction of a dictionary for automated discrimination of auditor’s opinion type Cover Image

Konstrukcja słownika do zautomatyzowanego rozpoznawania typu opinii biegłego rewidenta
Construction of a dictionary for automated discrimination of auditor’s opinion type

Author(s): Piotr Staszkiewicz, Jan Michalak
Subject(s): Economy, National Economy, Socio-Economic Research
Published by: Stowarzyszenie Księgowych w Polsce
Keywords: audit opinion; sentiment; tone; algotrading; machine learning

Summary/Abstract: This paper presents a simplified procedure for construction of a tone dictionary used for the automated recognition of the auditor's opinion type. The study was based on audit opinions prepared in the Polish language. Our sample consists of 362 reports for the period 2013-2016. It served as a basis for creating the language corpus. We applied text mining techniques combined with correlation analysis to assess information content of words on the basis of correlation with the type of auditor’s opinion. We have demonstrated that a modified auditor’s report (negative or qualified) has a significant correlation with tone while in the case of an unqualified opinion there is no such correlation. The procedure of dictionary creation and the dictionary itself can be used to develop automatic trading algorithms.

  • Issue Year: 2018
  • Issue No: 100
  • Page Range: 117-130
  • Page Count: 14
  • Language: Polish