Creating a sentiment signal for publicly traded firms by using IBM Watson on Bluemix
This tutorial explains how our team used IBM Bluemix, the Watson Natural Language Understanding API, crawled web data, and Twitter data to create a web page to track the aggregated sentiment signal for several publicly traded firms. We also give two possible uses of this data in equity research.
via IBM developerWorks https://ibm.co/2cihRPX
May 9, 2017 at 03:39AM