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A Machine Learning System for Tracking Sentiment in Irish Economic News

机译:爱尔兰经济新闻跟踪情绪的机器学习系统

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摘要

Tracking sentiment in the popular media has long been of interest to media analysts and pundits. With the availability of news content via online syndicated feeds, it is now possible to automate some aspects of this process. There is also great potential to "crowdsource" much of the annotation work that is required for the construction of predictive models.
机译:流行媒体的跟踪情绪长期以来对媒体分析师和Pundits感兴趣。随着通过在线综合源的新闻内容的可用性,现在可以自动化此过程的某些方面。 “人群源”施加预测模型所需的注释工作也有很大的潜力。

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