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...

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Bibliografske podrobnosti

Principais autores:	Carlos Sánchez-Antonio, José E. Valdez-Rodríguez, Hiram Calvo
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-11-01
Serija:	Mathematics
Teme:	graph-based text representation typical testors text classification TF-IDF graph convolutional networks (GCNs) natural language processing (NLP)
Online dostop:	https://www.mdpi.com/2227-7390/12/22/3576
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