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Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana Cover

Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana

Applied Computer Systems
Volume 25 (2020): Issue 1 (May 2020)
By: Isaac Kofi Nti,  Adebayo Felix Adekoya and  Benjamin Asubam Weyori  
Open Access
|Jun 2020

Authors

Isaac Kofi Nti

Ntious1@gmail.com

Department of Computer Science and Informatics, University of Energy and Natural Resources, Sunyani, Ghana
Department of Computer Science, Sunyani Technical University, Sunyani, Ghana

Adebayo Felix Adekoya

adebayo.adekoya@uenr.edu.gh

Department of Computer Science and Informatics, University of Energy and Natural Resources, Sunyani, Ghana

Benjamin Asubam Weyori

benjamin.weyori@uenr.edu.gh

Department of Computer Science and Informatics, University of Energy and Natural Resources, Sunyani, Ghana
DOI: https://doi.org/10.2478/acss-2020-0004 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 33 - 42
Published on: Jun 5, 2020
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Artificial Neural Network,
financial text mining,
Ghana Stock Exchange,
natural language processing,
sentimental analysis,
stock market prediction
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2020 Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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