SETN: Stock Embedding Enhanced with Textual and Network Information
Author:
Affiliation:
1. The University of Tokyo School of Engineering,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020220.pdf?arnumber=10020220
Reference20 articles.
1. Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction
2. Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction
3. Trust Prediction for Online Social Networks with Integrated Time-Aware Similarity
4. Exploring graph neural networks for stock market predictions with rolling window analysis;matsunaga;Robust AI in Financial Services Data Fairness Explainability Trustworthiness and Privacy,2019
5. Economic causal-chain search using text mining technology;kiyoshi;The First Workshop on Financial Technology and Natural Language Processing In conjunction with the 28th International Joint Conference on Artificial Intelligence,2019
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1. Context-Aware Stock Recommendations with Stocks' Characteristics and Investors' Traits;IEICE Transactions on Information and Systems;2023-10-01
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