Stock Prediction via Sentimental Transfer Learning

Stock Prediction via Sentimental Transfer Learning

Stock prediction is always an attractive problem. With the expansion of information sources, news-driven stock prediction based on sentiments of social media, such as sentiment polarities in financial news, becomes more and more popular. However, the distributions of news articles among different st...

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Bibliographic Details
Main Authors: Xiaodong Li, Haoran Xie, Raymond Y. K. Lau, Tak-Lam Wong, Fu-Lee Wang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Sentiment analysis
stock prediction
transfer learning
Online Access:https://ieeexplore.ieee.org/document/8537894/

Internet

https://ieeexplore.ieee.org/document/8537894/

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