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http://hdl.handle.net/1942/40559
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DC Field | Value | Language |
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dc.contributor.author | Senave, Elseline | - |
dc.contributor.author | JANS, Mieke | - |
dc.contributor.author | Srivastava, Rajendra P. | - |
dc.date.accessioned | 2023-07-12T08:34:32Z | - |
dc.date.available | 2023-07-12T08:34:32Z | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-07-06T14:00:04Z | - |
dc.identifier.citation | International Journal of Accounting Information Systems, 50 (Art N° 100624) | - |
dc.identifier.uri | http://hdl.handle.net/1942/40559 | - |
dc.description.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. | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.rights | 2023 Elsevier Inc. All rights reserved. | - |
dc.subject.other | Text mining | - |
dc.subject.other | Accounting | - |
dc.subject.other | Readability | - |
dc.subject.other | Cosine similarity | - |
dc.subject.other | Risk sentiment | - |
dc.title | The application of text mining in accounting | - |
dc.type | Journal Contribution | - |
dc.identifier.volume | 50 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.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. | - |
local.publisher.place | RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 100624 | - |
dc.identifier.doi | 10.1016/j.accinf.2023.100624 | - |
dc.identifier.isi | 001013457000001 | - |
local.provider.type | wosris | - |
local.description.affiliation | [Senave, Elseline; Jans, Mieke J.] Hasselt Univ, Martelarenlaan 42, B-3500 Hasselt, Belgium. | - |
local.description.affiliation | [Jans, Mieke J.] Maastricht Univ, Minderbroedersberg 4-6, NL-6211 LK Maastricht, Netherlands. | - |
local.description.affiliation | [Srivastava, Rajendra P.] Univ Kansas, 1450 Jayhawk Blvd, Lawrence, KS 66045 USA. | - |
local.uhasselt.international | yes | - |
item.fulltext | With Fulltext | - |
item.fullcitation | Senave, Elseline; JANS, Mieke & Srivastava, Rajendra P. (2023) The application of text mining in accounting. In: International Journal of Accounting Information Systems, 50 (Art N° 100624). | - |
item.embargoEndDate | 2025-09-30 | - |
item.contributor | Senave, Elseline | - |
item.contributor | JANS, Mieke | - |
item.contributor | Srivastava, Rajendra P. | - |
item.accessRights | Embargoed Access | - |
crisitem.journal.issn | 1467-0895 | - |
crisitem.journal.eissn | 1873-4723 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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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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