Fine-grained affect detection in learners’ generated content using machine learning
Crossref DOI link: https://doi.org/10.1007/s10639-019-09948-6
Published Online: 2019-07-04
Published Print: 2019-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kolog, Emmanuel Awuni
Devine, Samuel Nii Odoi
Ansong-Gyimah, Kwame
Agjei, Richard Osei
Text and Data Mining valid from 2019-07-04
Version of Record valid from 2019-07-04
Article History
Received: 10 March 2019
Accepted: 13 June 2019
First Online: 4 July 2019