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

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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Bibliographic Details
Main Authors: Carlos Sánchez-Antonio, José E. Valdez-Rodríguez, Hiram Calvo
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
graph-based text representation
typical testors
text classification
TF-IDF
graph convolutional networks (GCNs)
natural language processing (NLP)
Online Access:https://www.mdpi.com/2227-7390/12/22/3576
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