Critical review of text mining and sentiment analysis for stock market prediction
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Date
2023-04-05
Authors
Janková, Zuzana
ORCID
0000-0003-1798-5275Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Vilnius Gediminas Technical University
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Abstract
The 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.
Description
Citation
Journal of Business Economics and Management. 2023, vol. 24, issue 1, p. 1-22.
https://journals.vilniustech.lt/index.php/JBEM/article/view/18805
https://journals.vilniustech.lt/index.php/JBEM/article/view/18805
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en