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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F23%3APU147968" target="_blank" >RIV/00216305:26510/23:PU147968 - isvavai.cz</a>

Result on the web

<a href="https://journals.vilniustech.lt/index.php/JBEM/article/view/18805" target="_blank" >https://journals.vilniustech.lt/index.php/JBEM/article/view/18805</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3846/jbem.2023.18805" target="_blank" >10.3846/jbem.2023.18805</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

50206 - Finance

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Business Economics and Management

ISSN

1611-1699

e-ISSN

2029-4433

Volume of the periodical

24

Issue of the periodical within the volume

1

Country of publishing house

LT - LITHUANIA

Number of pages

22

Pages from-to

1-22

UT code for WoS article

000964458700001

EID of the result in the Scopus database

2-s2.0-85153866565