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Applied Computer Systems
Volume 25 (2020): Numero 1 (May 2020)
Accesso libero
Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana
Isaac Kofi Nti
Isaac Kofi Nti
,
Adebayo Felix Adekoya
Adebayo Felix Adekoya
e
Benjamin Asubam Weyori
Benjamin Asubam Weyori
| 05 giu 2020
Applied Computer Systems
Volume 25 (2020): Numero 1 (May 2020)
INFORMAZIONI SU QUESTO ARTICOLO
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CONDIVIDI
Pubblicato online:
05 giu 2020
Pagine:
33 - 42
DOI:
https://doi.org/10.2478/acss-2020-0004
Parole chiave
Artificial Neural Network
,
financial text mining
,
Ghana Stock Exchange
,
natural language processing
,
sentimental analysis
,
stock market prediction
© 2020 Isaac Kofi Nti et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 Public License.
Isaac Kofi Nti
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
Department of Computer Science and Informatics, University of Energy and Natural Resources
Sunyani, Ghana
Benjamin Asubam Weyori
Department of Computer Science and Informatics, University of Energy and Natural Resources
Sunyani, Ghana