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A Graph Neural Network-Based Context-Aware Framework for Sentiment Analysis Classification in Chines...

A Graph Neural Network-Based Context-Aware Framework for Sentiment Analysis Classification in Chines...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_77c29e9f3165453c974c256fcd897407

A Graph Neural Network-Based Context-Aware Framework for Sentiment Analysis Classification in Chinese Microblogs

About this item

Full title

A Graph Neural Network-Based Context-Aware Framework for Sentiment Analysis Classification in Chinese Microblogs

Author / Creator

Publisher

Basel: MDPI AG

Journal title

Mathematics (Basel), 2025-03, Vol.13 (6), p.997

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Sentiment analysis in Chinese microblogs is challenged by complex syntactic structures and fine-grained sentiment shifts. To address these challenges, a Contextually Enriched Graph Neural Network (CE-GNN) is proposed, integrating self-supervised learning, context-aware sentiment embeddings, and Graph Neural Networks (GNNs) to enhance sentiment clas...

Alternative Titles

Full title

A Graph Neural Network-Based Context-Aware Framework for Sentiment Analysis Classification in Chinese Microblogs

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_77c29e9f3165453c974c256fcd897407

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_77c29e9f3165453c974c256fcd897407

Other Identifiers

ISSN

2227-7390

E-ISSN

2227-7390

DOI

10.3390/math13060997

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