2022
Software
Unknown
Topic modelling
Zedda E.
Topic modelling LDA
An application that uses the Latent Dirichlet Allocation algorithms Algorithm to identify and extract topics from a text corpus composed of different scientific papers related to the domain of Social Robotics for assisting older adults with cognitive impairments. The approach uses Natural Language Process (NPL) techniques to evaluate how this domain has evolved and if it is possible to identify some subtopics by analysing academic publications. Language: R
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BibTeX entry
@misc{oai:it.cnr:prodotti:488733,
title = {Topic modelling},
author = {Zedda E.},
year = {2022}
}CNR authorsLaboratories
0000-0002-6541-5667CNR ExploRA