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Aspect-level Sentiment Analysis of Graph Convolutional Networks Based on Syntactic Enhancement and Mogrifier LSTM
Artificial Intelligence | 更新时间：2025-11-25

    • Aspect-level Sentiment Analysis of Graph Convolutional Networks Based on Syntactic Enhancement and Mogrifier LSTM

    • “In the field of natural language processing, experts have proposed a graph convolutional network model based on syntactic enhancement and deformable LSTM, which effectively solves the problem of syntactic ambiguity in complex long sentences and provides a new solution for syntactic analysis.”
    • Software Guide   Vol. 24, Issue 10, Pages: 97-103(2025)

    • DOI：10.11907/rjdk.241765    

      CLC： TP391.1

    • Received：05 September 2024，

      Published：15 October 2025

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  • ZHANG Guangming,ZHANG Chi,GAO Qian,et al.Aspect-level Sentiment Analysis of Graph Convolutional Networks Based on Syntactic Enhancement and Mogrifier LSTM[J].Software Guide,2025,24(10):97-103. DOI： 10.11907/rjdk.241765.

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