📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Applying machine-learning to rapidly analyze large qualitative text datasets to inform the COVID-19 pandemic response: comparing human and machine-assisted topic analysis techniques. (2023)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3389/fpubh.2023.1268223

PubMed Identifier: 38026376

Publication URI: http://europepmc.org/abstract/MED/38026376

Type: Journal Article/Review

Volume: 11

Parent Publication: Frontiers in public health

ISSN: 2296-2565