Tong Liu, Christopher Homan, Cecilia Ovesdotter Alm, Megan C. Lytle-Flint, Ann Marie White, Henry A. Kautz
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引用次数: 17
Abstract
We construct a humans-in-the-loop supervised learning framework that integrates crowdsourcing feedback and local knowledge to detect job-related tweets from individual and business accounts. Using data-driven ethnography, we examine discourse about work by fusing language-based analysis with temporal, geospational, and labor statistics information.
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