Augmented Textual Features-Based Stock Market Prediction

Augmented Textual Features-Based Stock Market Prediction

Due to its dynamics, non-linearity and complexity nature, stock market is inherently difficult to predict. One of the attractive objectives is to predict stock market movement direction by using public sentiments analysis. However, there is an active debate about the usefulness of this approach and...

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Bibliographic Details
Main Authors: Salah Bouktif, Ali Fiaz, Mamoun Awad
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Machine learning
model stacking
sentiment analysis
stock movement direction prediction
textual features extraction
tweets mining
Online Access:https://ieeexplore.ieee.org/document/9016182/

Internet

https://ieeexplore.ieee.org/document/9016182/

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