Detail publikace

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

JANKOVÁ, Z.

Originální název

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

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

JANKOVÁ, Z.

Vydáno

5. 4. 2023

Nakladatel

Vilnius Gediminas Technical University

Místo

Vilnius, Lithuania

ISSN

2029-4433

Periodikum

Journal of Business Economics and Management

Ročník

24

Číslo

1

Stát

Litevská republika

Strany od

1

Strany do

22

Strany počet

22

URL

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

Plný text v Digitální knihovně

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"
}