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Learn How to Build a Model in Python to Analyze Sentiment from Twitter Data

Our latest webinar, “Buying Happiness: Using LSTMs to Turn Feelings Into Trades” is now available to view. Led by Quantopian’s Data Science Lead, Max Margenot, this webinar discusses how to build a Twitter sentiment model in Python using Word2Vec and long short-term memory networks (LSTMs), comparing and contrasting with more conventional statistical models.

Learn more by subscribing to our Quantopian Channel to access all of our educational videos.

You can view the presentation slides used in this webinar on GitHub.

As always, if there are any topics you would like us to focus on for future videos, please comment below or send us a quick note at [email protected].


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