Dialogue sentiment analysis method based on interactive long-short-term memory network
A long-term and short-term memory and sentiment analysis technology, applied in semantic analysis, biological neural network models, instruments, etc., can solve the problem of ignoring the interaction and influence of the talker, and achieve the effect of improving efficiency, accuracy and accuracy.
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[0054] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description. figure 1 It shows the flow of the dialogue sentiment analysis method based on the interactive long short-term memory network proposed by this method; figure 2 Shows the interaction flow chart between the talkers in the chat conversation; image 3 A diagram showing the internal structure of the long short-term memory network; Figure 4 An interactive LSTM network structure diagram is shown; Figure 5 The comparison results of emotion prediction experiments of different emotion recognition methods are shown. Specific steps are as follows:
[0055] (1): Collect chat dialogue data based on online chat community forums, and initially obtain dialogue data. The method is as follows:
[0056] Step 1: Formulate three principles to select chat for...
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