Using social media mining technology to improve stock price forecast accuracy-Reference-Cited by-同舟云学术

Using social media mining technology to improve stock price forecast accuracy

Published:2019-06-27 Issue:1 Volume:39 Page:104-116
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Huang Jia‐Yen¹^ORCID,Liu Jin‐Hao¹

Affiliation:

1. Department of Information Management, National Chin‐Yi University of Technology, Taichung City Taiwan, ROC

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/for.2616

Reference39 articles.

1. Stock price prediction using neural network with hybridized market indicators;Adebiyi A. A.;Journal of Emerging Trends in Computing and Information Sciences,2012

2. Automated variable selection methods for logistic regression produced unstable models for predicting acute myocardial infarction mortality

3. Evaluating multiple classifiers for stock price direction prediction

4. Twitter mood predicts the stock market

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