Graph-based exploration and clustering analysis of semantic spaces

Graph-based exploration and clustering analysis of semantic spaces

Abstract The goal of this study is to demonstrate how network science and graph theory tools and concepts can be effectively used for exploring and comparing semantic spaces of word embeddings and lexical databases. Specifically, we construct semantic networks based on word2vec representation of wor...

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Bibliographic Details
Main Authors: Alexander Veremyev, Alexander Semenov, Eduardo L. Pasiliao, Vladimir Boginski
Format: Article
Language:English
Published: SpringerOpen 2019-11-01
Series:Applied Network Science
Subjects:
Semantic spaces
Graph theory
Word2vec similarity networks
Cohesive clusters
Cliques
Clique relaxations
Online Access:http://link.springer.com/article/10.1007/s41109-019-0228-y

Internet

http://link.springer.com/article/10.1007/s41109-019-0228-y

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