Potential user identification method and device based on social platform data
A social platform and user technology, applied in special data processing applications, electronic digital data processing, character and pattern recognition, etc., can solve the problem that the identification of users with subdivided interests is easily interfered by other noises, the difficulty of identification, and the identification of users with subdivided interests. Lack of effective data training models, etc., to reduce the amount of data acquisition, improve recognition accuracy, and reduce labor costs
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Embodiment 2
[0129] refer to Figure 4 , as an implementation of the above-mentioned potential user identification method based on social platform data, the present application provides an embodiment of a potential user identification device based on social platform data, which is the same as figure 2 The method embodiments shown correspond.
[0130] Such as Figure 4 As shown, the potential user identification device based on social platform data in this embodiment includes: a pre-extraction module 10, an image classification module 20, an abnormal data detection module 30 and a potential user identification module 40, wherein,
[0131] Pre-extraction module 10, for pre-extracting the data obtained from social platform based on the white name word table and / or the first black name word table, obtain unlabeled post collection T and unlabeled image collection I;
[0132] The image classification module 20 is used to use the trained N image classification models to perform image classific...
Embodiment 3
[0138] Figure 5 A schematic structural diagram of a computing device provided by another embodiment of the present application is shown. Figure 5 The displayed computing device 50 is only an example, and should not impose any limitation on the functions and scope of use of the embodiments of the present application.
[0139] Such as Figure 5 As shown, computing device 50 takes the form of a general-purpose computing device. Components of computing device 50 may include, but are not limited to: one or more processors or processing units 500 , system memory 516 , bus 501 connecting various system components including system memory 516 and processing unit 500 .
[0140] Bus 501 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus structures. These architectures include, by way of example, but are not limited to Industry...
Embodiment 4
[0148] Another embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method provided in the first embodiment above is implemented.
[0149] In practical applications, the computer-readable storage medium may use any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (non-exhaustive list) of computer-readable storage media include: electrical connections with one or more leads, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), Erasable programmable read-only memory (EPROM or flash mem...
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