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The use of SMT in financial news sentiment analysis

This video was recorded at W3C Workshop: A Local Focus for the Multilingual Web, Limerick 2011. 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.

Keywords:: videolectures, ocwc, oec

Disciplines:

Science and Technology / Computer Science

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Material Type:: Presentation
Date Added to MERLOT:: February 10, 2015
Date Modified in MERLOT:: February 10, 2015
Author:: Thomas Dohmen, SemLab
Submitter:: The Open Education Consortium
Primary Audience:: College General Ed, College Lower Division, College Upper Division
Technical Format:: Video

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States