by Ethan Shaotran
by Ethan Shaotran · Published November 11, 2017 · Last modified November 18, 2018
We’ve now defined functions to collect relevant stock articles, analyze those articles’ sentiment, and interpret stock trends with historical data. These 3 parts will finally come together to make one procedure which we...
In this week’s segment of our Stock Prediction Series, where we learn to use Deep Learning for stock market prediction, we will be creating dictionaries which contain our positive and negative sentiment words,...
Welcome to Part 2 of our tutorial series on using Deep Learning for Stock Market Prediction. In this tutorial we’ll start the exiting part of coding our news-collecting functions. Purpose: Collect Articles about...
Ethan Shaotran is an AI developer, researcher, founder of Energize.AI, and author of Stock Prediction with Deep Learning. He is an affiliate at the Harvard Kennedy School’s AI Initiative and is a member of the Association for Computing Machinery.
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