The use of SMT in financial news sentiment analysis

author: Thomas Dohmen, SemLab
published: Dec. 12, 2011,   recorded: October 2011,   views: 5532


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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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Download slides icon Download slides: w3cworkshop2011_dohmen_smt_01.pdf (1.4┬áMB)

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