Critical review of text mining and sentiment analysis for stock market prediction

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dc.contributor.authorJanková, Zuzanacs
dc.coverage.issue1cs
dc.coverage.volume24cs
dc.date.issued2023-04-05cs
dc.description.abstractThe paper is aimed at a critical review of the literature dealing with text mining and sentiment analysis for stock market prediction. The aim of this work is to create a critical review of the literature, especially with regard to the latest findings of research articles in the selected topic strictly focused on stock markets represented by stock indices or stock titles. This requires examining and critically analyzing the methods used in the analysis of sentiment from textual data, with special regard to the possibility of generalization and transferability of research results. For this reason, an analytical approach is also used in working with the literature and a critical approach in its organization, especially for completeness, coherence, and consistency. Based on the selected criteria, 260 articles corresponding to the subject area are selected from the world databases of Web of Science and Scopus. These studies are graphically captured through bibliometric analysis. Subsequently, the selection of articles was narrowed to 49. The outputs are synthesized and the main findings and limits of the current state of research are highlighted with possible future directions of subsequent research.en
dc.formattextcs
dc.format.extent1-22cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationJournal of Business Economics and Management. 2023, vol. 24, issue 1, p. 1-22.en
dc.identifier.doi10.3846/jbem.2023.18805cs
dc.identifier.issn2029-4433cs
dc.identifier.orcid0000-0003-1798-5275cs
dc.identifier.other183245cs
dc.identifier.researcheridV-3927-2017cs
dc.identifier.urihttp://hdl.handle.net/11012/209505
dc.language.isoencs
dc.publisherVilnius Gediminas Technical Universitycs
dc.relation.ispartofJournal of Business Economics and Managementcs
dc.relation.urihttps://journals.vilniustech.lt/index.php/JBEM/article/view/18805cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2029-4433/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectbibliometric analysisen
dc.subjectfinancial marketen
dc.subjectliterature reviewen
dc.subjectsentiment analysisen
dc.subjectstock marketen
dc.subjecttext miningen
dc.titleCritical review of text mining and sentiment analysis for stock market predictionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-183245en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:43:31en
sync.item.modts2025.01.17 16:48:39en
thesis.grantorVysoké učení technické v Brně. Fakulta podnikatelská. Ústav informatikycs
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