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

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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

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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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