Publication detail

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

JANKOVÁ, Z.

Original Title

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

Type

journal article in Web of Science

Language

English

Original 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.

Keywords

bibliometric analysis; financial market; literature review; sentiment analysis; stock market; text mining

Authors

JANKOVÁ, Z.

Released

5. 4. 2023

Publisher

Vilnius Gediminas Technical University

Location

Vilnius, Lithuania

ISBN

2029-4433

Periodical

Journal of Business Economics and Management

Year of study

24

Number

1

State

Republic of Lithuania

Pages from

1

Pages to

22

Pages count

22

URL

https://journals.vilniustech.lt/index.php/JBEM/article/view/18805

Full text in the Digital Library

http://hdl.handle.net/11012/209505

BibTex

@article{BUT183245,
  author="Zuzana {Janková}",
  title="Critical review of text mining and sentiment analysis for stock market prediction",
  journal="Journal of Business Economics and Management",
  year="2023",
  volume="24",
  number="1",
  pages="1--22",
  doi="10.3846/jbem.2023.18805",
  issn="2029-4433",
  url="https://journals.vilniustech.lt/index.php/JBEM/article/view/18805"
}