Sentiment Predictability for Stocks
December 15, 2017 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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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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