A Hybrid Framework Using PCA, EMD and LSTM Methods for Stock Market Price Prediction with Sentiment Analysis

A Hybrid Framework Using PCA, EMD and LSTM Methods for Stock Market Price Prediction with Sentiment Analysis

The aim of investors is to obtain the maximum return when buying or selling stocks in the market. However, stock price shows non-linearity and non-stationarity and is difficult to accurately predict. To address this issue, a hybrid prediction model was formulated combining principal component analys...

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Bibliographic Details
Main Authors: Krittakom Srijiranon, Yoskorn Lertratanakham, Tanatorn Tanantong
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
hybrid framework
stock market price
principal component analysis
long short-term memory
empirical mode decomposition
sentiment analysis
Online Access:https://www.mdpi.com/2076-3417/12/21/10823

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