Thomson Reuters, the organization behind theOpenCalais semantic web service, has a double-dose of sentiment analytics in its toolset, addressing both the financial services and public- and investment-relations pros. The first dose is designed to help investor trading through machine reading of Reuters news content; its analysis of sentiment, tuned for that specific content, feeds into real-time trading execution systems, with about 80 percent accuracy.
The second dose takes that and tailors it for the PR audience that wants to graphically see how market sentiment relates to their stock price movements and their missions.
“The pros we work with don’t have to read every tweet or blog post, they can get a read of the overall sentiment analysis and directionally it‘s correct,” saysSentiment Analysis Symposium “>Greg Radner, global head of PR Services at Thomson Reuters. He and Richard Brown, global business manager of machine readable news at the company, are both speaking at next week’sSentiment Analysis Symposium symposium. “And then if they see some outliers they can quickly dive in and read individual posts or comments.”