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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50206 - Finance

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Journal of Business Economics and Management

ISSN

1611-1699

e-ISSN

2029-4433

Svazek periodika

24

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

LT - Litevská republika

Počet stran výsledku

22

Strana od-do

1-22

Kód UT WoS článku

000964458700001

EID výsledku v databázi Scopus

2-s2.0-85153866565