Automatic user profile extracting method and device based on man-machine interaction
A technology of automatic extraction and man-machine dialogue, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as the inability to automatically extract user information in general
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specific Embodiment 1
[0038] Such as figure 1 As shown, the embodiment of the present invention provides a method for automatically extracting user portraits based on man-machine dialogue, which is characterized in that it includes:
[0039] In step S101, an input signal is obtained according to user input information; the input signal includes a sentence type (Sentence Type) signal. In the embodiment of the present invention, the sentence type is a sentence type, which may be one of sentence types such as affirmative statement sentence, negative statement sentence, time question sentence, and quantity question sentence. The embodiment of the present invention does not limit the manner of acquiring the input signal, preferably, it may be a manner of using a rule, a machine learning model or a deep learning model. The embodiment of the present invention does not limit the input signal obtained from the user input sentence. Preferably, the input signal may also include sentence topic (Topic) signal,...
specific Embodiment 2
[0047] Such as figure 2 As shown, the embodiment of the present invention provides a device for automatically extracting user portraits based on man-machine dialogue, including:
[0048] The input signal acquisition module 201 is configured to acquire an input signal according to user input information; the input signal includes a sentence type signal. In the embodiment of the present invention, the sentence type is a sentence type, which may be one of sentence types such as affirmative statement sentence, negative statement sentence, time question sentence, and quantity question sentence. The embodiment of the present invention does not limit the manner of acquiring the input signal, preferably, it may be a manner of using a rule, a machine learning model or a deep learning model. The embodiment of the present invention does not limit the input signal obtained from the user input sentence. Preferably, the input signal may also include sentence topic (Topic) signal, emotion ...
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