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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 tempora...
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| Vydáno v: | Proc Conf Assoc Comput Linguist Meet |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5082699/ https://ncbi.nlm.nih.gov/pubmed/27795613 |
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