The application of text mining in accounting

Elseline Senave, Mieke J. Jans*, Rajendra P. Srivastava

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

By facilitating the derivation of knowledge and qualitative measures from textual data, text mining techniques have come into vogue in various domains and industries. Namely in ac-counting, text mining outputs can elucidate, complement, and validate the customary quantita-tive data. This study creates an up-to-date view of text mining applications in accounting practice. Through a critical review of text mining literature, insight is given into the stages of a typical text mining process, contemporary text mining techniques that have been named valuable in an ac-counting context, and the information that can be obtained by applying these techniques.
Original languageEnglish
Article number100624
Number of pages19
JournalInternational Journal of Accounting Information Systems
Volume50
DOIs
Publication statusPublished - 1 Sept 2023

Keywords

  • Text mining
  • Accounting
  • Readability
  • Cosine similarity
  • Risk sentiment
  • INFORMATION-CONTENT
  • FINANCIAL-STATEMENTS
  • EARNINGS
  • DISCLOSURES
  • READABILITY
  • SENTIMENT
  • PREDICTORS
  • LANGUAGE

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