Mobility in Unsupervised Word Embeddings for Knowledge Extraction—The Scholars’ Trajectories across Research Topics

In the knowledge discovery field of the Big Data domain the analysis of geographic positioning and mobility information plays a key role. At the same time, in the Natural Language Processing (NLP) domain pre-trained models such as BERT and word embedding algorithms such as Word2Vec enabled a rich en...

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Auteurs principaux:	Gianfranco Lombardo, Michele Tomaiuolo, Monica Mordonini, Gaia Codeluppi, Agostino Poggi
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2022-01-01
Collection:	Future Internet
Sujets:	word embedding semantic space knowledge discovery Word2vec bert human mobility
Accès en ligne:	https://www.mdpi.com/1999-5903/14/1/25
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