| | --- |
| | license: cc-by-4.0 |
| | widget: |
| | - text: "Study: Shifts in electricity generation spur net job growth, but coal jobs decline - via @DukeU https://www.eurekalert.org/news-releases/637217" |
| | example_title: "All categories" |
| | - text: "Shifts in electricity generation spur net job growth, but coal jobs decline" |
| | example_title: "Only Cat 1.1" |
| | - text: "Study on impacts of electricity generation shift via @DukeU https://www.eurekalert.org/news-releases/637217" |
| | example_title: "Only Cat 1.2 and 1.3" |
| | - text: "@DukeU received grant for research on electricity generation shift" |
| | example_title: "Only Cat 1.3" |
| | --- |
| | This SciBert-based multi-label classifier, trained as part of the work "SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse", distinguishes three different forms of science-relatedness for Tweets. See details at https://github.com/AI-4-Sci/SciTweets . |
