Graph Neural Network Framework for Sentiment Analysis Using Syntactic Feature
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Abstract (arXiv)
Amidst the swift evolution of social media platforms and e-commerce ecosystems, the domain of opinion mining has surged as a pivotal area of exploration within natural language processing. A specialized segment within this field focuses on extracting nuanced evaluations tied to particular elements within textual contexts. This research advances a composite framework that amalgamates the positional cues of topical descriptors. The proposed system converts syntactic structures into a matrix format, leveraging convolutions and attention mechanisms within a graph to distill salient characteristics. Incorporating the positional relevance of descriptors relative to lexical items enhances the sequential integrity of the input. Trials have substantiated that this integrated graph-centric scheme markedly elevates the efficacy of evaluative categorization, showcasing preeminence.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 11 of its 23 references that are in the map. First posted on arXiv 21 Sep 2024.
Builds on
11 of 23 references.
References · 11
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Citing papers per year: 2024: 6.
6 papers.
- 2024Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networkscited by 33
- 2024Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithmcited by 11
- 2024Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentationcited by 10
- 2024Automated Genre-Aware Article Scoring and Feedback Using Large Language Modelscited by 7
- 2024Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysiscited by 7
- 2024Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systemscited by 5
- 2024Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis31 Oct 2024
- 2024Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks23 Oct 2024
- 2024Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems18 Oct 2024
- 2024Automated Genre-Aware Article Scoring and Feedback Using Large Language Models18 Oct 2024
- 2024Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation17 Oct 2024
- 2024Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm16 Oct 2024