Understanding Discourse on Work and Job Related Well Being in Public Social Media
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.
ACL