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Topic modelling

Software
Data di Pubblicazione:
2022
Abstract:
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
Tipologia CRIS:
05.11 Software
Keywords:
Topic modelling; LDA
Elenco autori:
Zedda, Eleonora
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/437915
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