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- W3125575222 abstract "Abstract Traditional convolutional neural network has been proved to have good classification effect in text sentiment analysis experiments. However, CNN ignores the context dependent information of sentences, which affects the classification effect. Therefore, this paper proposes a text sentiment analysis model based on CapsuleNets and Attention mechanism. Firstly, the word vector is trained by using Glove model; secondly, the local features are extracted by using the features of double-layer capsule network; then, attention mechanism is added to assign the corresponding weight to the extracted text information; finally, we complete classification. The experimental results show that the proposed model can effectively improve the accuracy of emotion classification." @default.
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- W3125575222 date "2021-01-01" @default.
- W3125575222 modified "2023-09-27" @default.
- W3125575222 title "Text sentiment analysis based on Glove model and United Network" @default.
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- W3125575222 doi "https://doi.org/10.1088/1742-6596/1748/3/032046" @default.
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