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Title: | The application of text mining in accounting | Authors: | Senave, Elseline JANS, Mieke Srivastava, Rajendra P. |
Issue Date: | 2023 | Publisher: | ELSEVIER | Source: | International Journal of Accounting Information Systems, 50 (Art N° 100624) | 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. | Notes: | Jans, MJ (corresponding author), Hasselt Univ, Martelarenlaan 42, B-3500 Hasselt, Belgium.; Jans, MJ (corresponding author), Maastricht Univ, Minderbroedersberg 4-6, NL-6211 LK Maastricht, Netherlands. | Keywords: | Text mining;Accounting;Readability;Cosine similarity;Risk sentiment | Document URI: | http://hdl.handle.net/1942/40559 | ISSN: | 1467-0895 | e-ISSN: | 1873-4723 | DOI: | 10.1016/j.accinf.2023.100624 | ISI #: | 001013457000001 | Rights: | 2023 Elsevier Inc. All rights reserved. | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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The application of text mining in accounting.pdf Restricted Access | Published version | 1.11 MB | Adobe PDF | View/Open Request a copy |
The Application of Text Mining in Accounting.pdf Until 2025-09-30 | Peer-reviewed author version | 470.47 kB | Adobe PDF | View/Open Request a copy |
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