Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40559
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dc.contributor.authorSenave, Elseline-
dc.contributor.authorJANS, Mieke-
dc.contributor.authorSrivastava, Rajendra P.-
dc.date.accessioned2023-07-12T08:34:32Z-
dc.date.available2023-07-12T08:34:32Z-
dc.date.issued2023-
dc.date.submitted2023-07-06T14:00:04Z-
dc.identifier.citationInternational Journal of Accounting Information Systems, 50 (Art N° 100624)-
dc.identifier.urihttp://hdl.handle.net/1942/40559-
dc.description.abstractBy 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.isoen-
dc.publisherELSEVIER-
dc.rights2023 Elsevier Inc. All rights reserved.-
dc.subject.otherText mining-
dc.subject.otherAccounting-
dc.subject.otherReadability-
dc.subject.otherCosine similarity-
dc.subject.otherRisk sentiment-
dc.titleThe application of text mining in accounting-
dc.typeJournal Contribution-
dc.identifier.volume50-
local.bibliographicCitation.jcatA1-
dc.description.notesJans, 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.placeRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr100624-
dc.identifier.doi10.1016/j.accinf.2023.100624-
dc.identifier.isi001013457000001-
local.provider.typewosris-
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.internationalyes-
item.fullcitationSenave, 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.validationecoom 2024-
item.fulltextWith Fulltext-
item.accessRightsEmbargoed Access-
item.embargoEndDate2025-09-30-
item.contributorSenave, Elseline-
item.contributorJANS, Mieke-
item.contributorSrivastava, Rajendra P.-
crisitem.journal.issn1467-0895-
crisitem.journal.eissn1873-4723-
Appears in Collections:Research publications
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