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• W4205659634 abstract "Text classification is one of the fundamental problems in Natural Language Processing (NLP). Several research studies have used deep learning approaches such as Convolution Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) for text classification. Over the past decade, graph-based approaches have been used to solve various NLP tasks including text classification. This paper reviews the most recent state-of-the-art graph-based text classification, datasets, and performance evaluations versus baseline models." @default.
• W4205659634 created "2022-01-26" @default.
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• W4205659634 date "2021-12-01" @default.
• W4205659634 modified "2023-10-10" @default.
• W4205659634 title "Review of Graph Neural Network in Text Classification" @default.
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• W4205659634 doi "https://doi.org/10.1109/uemcon53757.2021.9666633" @default.
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