The use of SMT in financial news sentiment analysis
published: Dec. 12, 2011, recorded: October 2011, views: 5530
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Statistical Machine Translation systems are a welcome development for news analytics. They enable topic-specific translation services, but are not without problems. The SMT system that is developed for the Let'sMT (FP7) project is trained and used to translate financial news for SemLab's news sentiment analysis platform. This talk will give an example of the benefits and problems of integrating such systems.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !