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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書誌詳細

出版年:	Future Internet
主要な著者:	Gianfranco Lombardo, Michele Tomaiuolo, Monica Mordonini, Gaia Codeluppi, Agostino Poggi
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2022-01-01
主題:	word embedding semantic space knowledge discovery Word2vec bert human mobility
オンライン･アクセス:	https://www.mdpi.com/1999-5903/14/1/25