PMN: A prototype network based metric framework for solving aspect-based sentiment analysis tasks

doi:10.1016/j.neucom.2025.131155

PMN: A prototype network based metric framework for solving aspect-based sentiment analysis tasks

2025-08-05

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DOI：10.1016/j.neucom.2025.131155

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Abstract

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• Introduced a few-shot learning method based on prototype networks for ABSA. • Built a quadruple task framework to explore task interdependencies. • Proposed three distance metrics to enhance the network’s mapping capability. • Experimental results show that the model outperforms current state-of-the-art methods. • This research lays a foundation for future developments in sentiment analysis.

Keywords:

few-shot learning

prototype networks

ABSA

quadruple task framework

distance metrics

PMN: A prototype network based metric framework for solving aspect-based sentiment analysis tasks

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