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A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements
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Merge pull request #8 from vedic-partap/revert-4-master
d24e7acView on GitHubRevert "Added requirments.txt for current project and also gitignore"
d08fdd4View on GitHubMade Word Embeddings for vocabulary using stanford Glove Vectors.
d05c30aView on GitHubChanged daily_reuters.py and crawler_reuters.py with newsapi news articles
1ace3d9View on GitHub