Sentiment Predictability for Stocks

December 15, 2017 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Jordan Prosky, Xingyou Song, Andrew Tan, Michael Zhao arXiv ID 1712.05785 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.LG, cs.MM Citations 15 Venue arXiv.org Last Checked 4 months ago
Abstract
In this work, we present our findings and experiments for stock-market prediction using various textual sentiment analysis tools, such as mood analysis and event extraction, as well as prediction models, such as LSTMs and specific convolutional architectures.
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