TTG-Text: A Graph-Based Text Representation Framework Enhanced by Typical Testors for Improved Classification

Recent advancements in graph-based text representation, particularly with embedding models and transformers such as BERT, have shown significant potential for enhancing natural language processing (NLP) tasks. However, challenges related to data sparsity and limited interpretability remain, especial...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Carlos Sánchez-Antonio, José E. Valdez-Rodríguez, Hiram Calvo
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-11-01
Serie:	Mathematics
Soggetti:	graph-based text representation typical testors text classification TF-IDF graph convolutional networks (GCNs) natural language processing (NLP)
Accesso online:	https://www.mdpi.com/2227-7390/12/22/3576
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!