Data from the project 'SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse' are now available with DOI 10.7802/2434 at GESIS - Leibniz Institute for the Social Sciences.
Primary researchers of this submission are: Hafid, Salim; LIRMM, CNRS, University of Montpellier, Montpellier, France Schellhammer, Sebastian; GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany Bringay, Sandra; LIRMM, CNRS, University of Montpellier, Montpellier, France Todorov, Konstantin; LIRMM, CNRS, University of Montpellier, Montpellier, France Dietze, Stefan; GESIS - Leibniz Institute for the Social Sciences Cologne & Heinrich-Heine-University Düsseldorf, Germany
Availability: Free Access (with registration)
More information is available at datorium: 10.7802/2434