Name: Extracting information from text in the financial markets
Start: 2013-03-26T12:00:00-05:00
End: 2013-03-26T13:30:00-05:00
Location: The East Bank Club

Just a reminder: all registrants must finalize their registration here:

http://www.123signup.com/calendar?Org=chicagoasa

Abstract:
In this presentation, Professor Sinha discusses an analysis he conducted where he extracted the text from over 2 million news articles on a Reuters terminal. He was then able to show that complex information is not immediately impounded into prices. The paper also shows that simple (but widely prevalent) ways of obtaining information from text are error-prone.

chicago_asa

Chicago Chapter American Statistical Association

Technology

R Project for Statistical Computing

Artificial Intelligence

Business Intelligence

Applied Statistics

Data Mining

Data Visualization

Machine Learning

Statistical Computing

Data Analytics

Big Data

Predictive Analytics

Business Analytics

Mike Wise

Extracting information from text in the financial markets

The East Bank Club

Share

Chicago Chapter American Statistical Association

Extracting information from text in the financial markets

Chicago Chapter American Statistical Association

Details

Members are also interested in