In this episode, we’re joined by Garrett Hoffman, Director of Data Science at Stocktwits.
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Garrett and I caught up at last month’s Strata Data conference, where he presented a tutorial on “Deep Learning Methods for NLP with Emphasis on Financial Services.” Stocktwits is a social network for the investing community which has its roots in the use of the $cashtag on Twitter. In our conversation, we discuss applications such as Stocktwits’ own use of “social sentiment graphs” built on multilayer LSTM networks to gauge community sentiment about certain stocks in real time, as well as the more general use of natural language processing for generating trading ideas.
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Mentioned in the Interview
- Paper: Recurrent Convolutional Neural Networks for Text Classification
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“More On That Later” by Lee Rosevere licensed under CC By 4.0