Using virtual edges to extract keywords from texts modeled as complex networks. (arXiv:2205.02172v1 [cs.CL])

Detecting keywords in texts is important for many text mining applications.
Graph-based methods have been commonly used to automatically find the key
concepts in texts, however, relevant information provided by embeddings has not
been widely used to enrich the graph structure. Here we modeled texts
co-occurrence networks, where nodes are words and edges are established either
by contextual or semantical similarity. We compared two embedding approaches --
Word2vec and BERT -- to check whether edges created via word embeddings can …

arxiv extract keywords networks virtual