Natural Language Processing at StockTwits with Garrett Hoffman - TWiML Talk #194

This article discusses the application of Natural Language Processing (NLP) at StockTwits, a social network for investors. The focus is on how StockTwits uses NLP, specifically multilayer LSTM networks, to build "social sentiment graphs." These graphs are used to assess real-time community sentiment towards specific stocks. The conversation also touches upon the broader use of NLP in generating trading ideas. The article highlights the practical application of NLP in the financial domain, demonstrating its potential for analyzing social media data to inform investment decisions.

• •StockTwits uses NLP to analyze social sentiment related to stocks.
• •Multilayer LSTM networks are used to build social sentiment graphs.
• •NLP is used to generate trading ideas.