SentiEntityRec: Entity-level sentiment perception graph neural network for news recommendation
Abstract Precise news recommendations are critical in today’s digital landscape. However, conventional approaches overlook fine-grained sentiment nuances associated with individual entities in news content. This paper presents SentiEntityRec, a novel graph neural network framework that enriches trad...
Saved in:
| Main Authors: | Qingshuai Wang, Jiahao Wang, Noor Farizah Ibrahim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00087-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dynamic Graph Attention Network with Sentiment Analysis for Fake News Detection in Social Networks
by: Fatemeh Jokar
Published: (2024-09-01) -
Sentimentally enhanced conversation recommender system
by: Fengjin Liu, et al.
Published: (2025-01-01) -
Improving Recommender Systems for Fake News Detection in Social Networks with Knowledge Graphs and Graph Attention Networks
by: Aleksei Golovin, et al.
Published: (2025-03-01) -
Dual-level graph contrastive collaborative filtering
by: Jiahao Wang, et al.
Published: (2025-07-01) -
Emotion and sentiment enriched decision transformer for personalized recommendations
by: Sana Abakarim, et al.
Published: (2025-07-01)