Development of an automatic text-based (inter)disciplinary classification of projects and publications using NLP
Description
The approach of analyzing and classifying research projects and outputs using texts available on websites as well as the collection of archived research papers can play an important role in structuring and presenting research information. Natural language processing (NLP) and OpenAI has the potential of significantly reducing the effort and time with the growing need of documenting research information. We have been working on the subject of classifying research papers and projects within the frame work of the BUA-VIVO-Project. Florian Kotschka and Rolf Guescini from the VIVO Team would present and discuss the achieved results with the community.
Here is the Link to the Video and the project website.
Files
FIP-VIVO-Talk10102023-Oktober102023-NLP.pdf
Files
(2.1 MB)
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