Join us for our webinar with DataCamp this Thursday, September 6th at 12pm ET. Max Margenot, Quantopian’s lead data scientist, will be presenting “Buying Happiness: Using LSTMs to Turn Feelings Into Trades.” You can register for free here.
In this webinar, Max will walk through how to build a model in Python to analyze sentiment from Twitter data. He will cover basic Natural Language Processing (NLP) techniques, providing different ways to extract features from text data for use in modeling. He will also describe a potential use of this sentiment model in developing algorithmic trading signals for factor models.
After this webinar, you’ll understand how to use the Word2Vec Python package and long short-term memory networks to analyze Twitter data and turn those insights into trades.
Following his presentation, Max will be answering questions from attendees. Don’t miss out, be sure to register today!