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A Chinese Text Classification Method With Low Hardware Requirement Based on Improved Model Concatenation
In order to improve the accuracy performance of Chinese text classification models with low hardware requirements, an improved concatenation-based model is designed in this paper, which is a concatenation of 5 different sub-models, including TextCNN, LSTM, and Bi-LSTM.
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