Using Crowdsourcing and Active Learning to Track Sentiment in Online Media
作者： Pádraig Cunningham , Derek Greene , Anthony Brew
DOI: 10.3233/978-1-60750-606-5-145
关键词:
摘要: Tracking sentiment in the popular media has long been of interest to analysts and pundits. With availability news content via online syndicated feeds, it is now possible automate some aspects this process. There also great potential crowdsource Crowdsourcing a term, sometimes associated with Web 2.0 technologies, that describes outsourcing tasks large often anonymous community. much annotation work required train machine learning system perform scoring. We describe such for tracking economic deployed since August 2009. It uses annotations provided by cohort non-expert annotators classify body items. report on design challenges addressed managing effort making an interesting experience.
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