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Leveraging social media news to predict stock index movement using RNN-boost · Study

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ArticleLeveraging social media news to predict stock index movement using RNN-boost

Weiling Chen2018

Article2018

Leveraging social media news to predict stock index movement using RNN-boost

Weiling Chen · Chai Kiat Yeo · Chiew Tong Lau · Bu‐Sung Lee

113 citations·0/0 files stored·Data & Knowledge Engineering

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Stock Market Forecasting Methods Financial Markets and Investment Strategies Sentiment Analysis and Opinion Mining

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References

1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting 1991Efficient Capital Markets: II 1969The Adjustment of Stock Prices to New Information 2003The Adjustment of Stock Prices to New Information 2003Constructivist and Ecological Rationality in Economics 1959Brownian Motion in the Stock Market 2015Deep learning for event-driven stock prediction 2011Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear”

Cited by

2020Financial time series forecasting with deep learning : A systematic literature review: 2005–2019 2022A stock price prediction method based on meta-learning and variational mode decomposition 2021Stock-Price Forecasting Based on XGBoost and LSTM 2022A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method 2024Deep Transformer-Based Asset Price and Direction Prediction 2020

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2017Stock market prediction using neural network through news on online social networksother · 15 shared references 2017Stock market one-day ahead movement prediction using disparate data sourcesarticle · 7 shared references 2019A local and global event sentiment based efficient stock exchange forecasting using deep learningarticle · 7 shared references 2015Sentiment analysis on social media for stock movement predictionarticle · 6 shared references 2018Predicting short-term stock prices using ensemble methods and online data sourcesarticle · 6 shared references 2020Evaluation of Tree-Based Ensemble Machine Learning Models in Predicting Stock Price Direction of Movementarticle · 5 shared references

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Year2018

Typearticle

Published2018-08-30

VenueData & Knowledge Engineering

ISSN-L0169-023X

Languageen

Citations113

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.datak.2018.08.003

openalex_workW2889201272

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