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The use of SMT in financial news sentiment analysis

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.

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