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SMT在金融新闻的情感分析中的应用

The use of SMT in financial news sentiment analysis
课程网址: http://videolectures.net/w3cworkshop2011_dohmen_smt/  
主讲教师: Thomas Dohmen
开课单位: Sem实验室
开课时间: 2011-12-12
课程语种: 英语
中文简介:
统计机器翻译系统是新闻分析的一个受欢迎的发展。它们支持特定主题的翻译服务,但并非没有问题。为Let'SMT(FP7)项目开发的SMT系统经过培训,用于为Semlab的新闻情绪分析平台翻译金融新闻。本文将举例说明集成此类系统的好处和问题。
课程简介: 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.
关 键 词: 计算机科学; 多语种信息访问; SMT系统
课程来源: 视频讲座网
最后编审: 2020-03-23:chenxin
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