Case classification method and device
A classification method and case technology, applied in the field of information processing, can solve problems such as low efficiency, achieve the effect of reducing workload, improving efficiency, and improving classification accuracy
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Embodiment 1
[0031] According to an embodiment of the present invention, an embodiment of a case classification method is also provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, Although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.
[0032] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. figure 1 It shows a block diagram of the hardware structure of a computer terminal (or mobile device) for realizing the case classification method. Such as figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more (shown by 102a, 102b, ..., 102n in the figure) processor 102 (the processor 102 may include but...
Embodiment 2
[0076] According to an embodiment of the present invention, a case classification device for implementing the above case classification method is also provided, Figure 7 is a schematic diagram of a case classification device according to an embodiment of the present invention, such as Figure 7 As shown, the device includes: an acquisition unit 71, a classification unit 73, wherein,
[0077] The acquiring unit 71 is configured to acquire multiple types of features associated with the case to be classified, wherein the multiple types of features include: text features, voice features, image features, and discrete features;
[0078] The classification unit 73 is configured to set various types of features as input parameters of the neural network classification model, and obtain classification results through the neural network classification model.
[0079] The above-mentioned case classification device acquires various types of features associated with cases to be classified...
Embodiment 3
[0083] Embodiments of the present invention may provide a computer terminal, and the computer terminal may be any computer terminal device in a group of computer terminals. Optionally, in this embodiment, the foregoing computer terminal may also be replaced with a terminal device such as a mobile terminal.
[0084] Optionally, in this embodiment, the foregoing computer terminal may be located in at least one network device among multiple network devices of the computer network.
[0085] Optionally, in this embodiment, the terminal may include: a first device; a second device; a processor, the processor runs a program, wherein, when the program is running, the data output from the first device and the second device performs the following processing Steps: The first step is to obtain various types of features associated with the case to be classified, among which the various types of features include: text features, speech features, image features, and discrete features; the sec...
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