A label classification method based on big data analysis
A tag classification and big data technology, applied in the field of tag classification, can solve the problems of inaccurate commodity classification, inaccurate commodity label classification methods, and inaccurate commodity sales behavior classification, so as to improve accuracy, speed, and accuracy. Effect
Active Publication Date: 2022-03-01
广东潮庭集团有限公司
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Problems solved by technology
When analyzing products, it is very important to quickly and accurately classify product labels. However, the current product label classification method is not accurate enough, resulting in inaccurate product classification during actual operation, which leads to subsequent product sales behavior classification. Not accurate enough
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Embodiment Construction
[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0023] A label classification method based on big data analysis, the specific process is as follows:
[0024] S11. Identifying the tag sequence, and grabbing the tag sequence image;
[0025] S12. Perform in-depth recognition on the tag sequence image, and identify the bytes in the tag sequence image;
[0026] S13. Segment the tag sequence image in step S12 according to bytes, and segment sub-tag images;
[0027] S14, performing feature extraction on the segmented label sequ...
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The invention relates to a label classification method based on big data analysis. S11, identifying a label sequence, and grabbing a label sequence image; S12, performing a deep identification on the label sequence image, and identifying the bytes in the label sequence image; S13, segment the tag sequence image in step S12 according to the bytes, and segment the sub-tag images; S14, perform feature extraction on the segmented tag sequence images, extract the digital features in each sub-tag image, and extract the extracted The digital features are arranged in the order from front to back to obtain a new label sequence combination; S15, the new label sequence combination obtained according to the digital features in the label image extracted in step S14 matches the label classification rules stored in the database, and the The new label sequence combination is used for label classification; the invention has the advantages of accurate and fast classification.
Description
technical field [0001] The invention belongs to the technical field of label classification, and in particular relates to a label classification method based on big data analysis. Background technique [0002] In recent years, with the rapid development of science and technology, big data has attracted more and more attention. As a huge database based on Internet technology, big data has brought many conveniences to people's lives. People sell products based on Internet big data information. Methods, sales scale, market prospects, etc. are analyzed accurately, so that managers can make quick, efficient and accurate decisions. [0003] At the same time, big data requires the support of a huge database. Before analyzing the data, it is necessary to establish a database. Taking commodities as an example, it is necessary to accurately classify the commodities, so that the sold commodities can be sold according to the unique labels of the commodities. Gold standard classificatio...
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IPC IPC(8): G06F16/53G06F16/35G06V10/44G06V10/22
CPCG06V10/22G06V10/44
Inventor 洪创波
Owner 广东潮庭集团有限公司