Model training method, text intent recognition method and device
An intention and model technology, applied in the field of text intention recognition devices, can solve the problems that the intention category cannot be automatically determined and the accuracy is not high
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[0068] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0069] refer to figure 1 , shows a flow chart of the steps of Embodiment 1 of a model training method of the present invention, which may specifically include the following steps:
[0070] Step 101, obtaining multiple text corpora;
[0071] In the embodiment of the present invention, the model may include a convolutional neural network model, the convolutional neural network model is equivalent to a classifier, and the category value set according to the user's input is output according to the trained convolutional neural network model; specifically , the convolutional neural network model can include a word embedding layer, a convolutional layer, a pooling layer and a fully connected layer. The word embedding layer is mainly use...
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