Prattle

Evan Schnidman, Co-Founder & CEO of Prattle Analytics

July 16, 2015 • New York, NY

Sentiment analysis has too often relied on traditional data science techniques to attempt to glean nuanced sentiment information from complex documents. Traditional methods allow us to get an overview of the forest of data that exists, but deep domain expertise is crucial to getting a more nuanced view of the trees. This talk examines how to utilize deep domain expertise to construct more refined sentiment analysis on complex documents. Examples will be drawn from analysis of central bank communications that has resulted in comprehensive, unbiased, quantitative sentiment data.

Evan Schnidman & Bill MacMillan, Co-Founders of Prattle Analytics

May 30-31, 2015 • Boston Convention Center, Boston MA

It is widely acknowledged that text analysis offers a view into a massive world of unstructured data. This data offers a goldmine of tradable information ranging from corporate regulatory filings to central bank communications. But, like other areas of “big data,” this material is virtually useless without narrowing the focus. This talk examines the ways in which deep domain expertise can help refine text analysis data into a powerful investing tool.

Talk by: Evan Schnidman, Co-Founder and CEO of Prattle Analytics

March 14, 2015 • QuantCon 2015—Hack Wall Street Convention