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Tag extraction method, device and computer-readable storage medium based on big data

A label extraction and big data technology, applied in the field of big data, can solve the problems of low accuracy and low efficiency, and achieve the effect of improving the accuracy and efficiency of extraction

Active Publication Date: 2019-09-10
SHENZHEN COOCAA NETWORK TECH CO LTD
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AI Technical Summary

Problems solved by technology

With the development of big data, the existing methods for extracting tags can no longer meet the requirements of various business developments, and the extraction of tags for content input by users is often inaccurate and inefficient
[0004] How to ensure high accuracy and high efficiency of label extraction There is currently no effective solution

Method used

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  • Tag extraction method, device and computer-readable storage medium based on big data
  • Tag extraction method, device and computer-readable storage medium based on big data
  • Tag extraction method, device and computer-readable storage medium based on big data

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no. 1 example

[0060] Please refer to figure 1 , figure 1 It is a schematic flow chart of the method for extracting tags based on big data in the present invention, and proposes the first embodiment of the present invention. The embodiment of the present invention proposes a method for extracting tags based on big data, including:

[0061]Step S10, when the text instruction input by the user is received, the label is extracted in the data model based on the text instruction input by the user, and a secondary label matrix is ​​generated by calculation using a neural network algorithm;

[0062] In this embodiment, the artificial neural network (ANN) system appeared after the 1940s. It is composed of many neurons with adjustable connection weights, and has large-scale parallel processing, distributed It has been widely used in information processing, pattern recognition, intelligent control and system modeling and other fields. In particular, the error backpropagation algorithm (Error Back-pr...

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Abstract

The invention provides a label extraction method based on big data, and the method comprises the steps: carrying out the label extraction in a data model based on a text instruction input by a user when the text instruction input by the user is received, and carrying out the calculation through employing a neural network algorithm, and generating a secondary label matrix; performing probability conversion calculation on the formed preset number of information entries with the highest ranking and the preset number of corresponding parent-child hierarchical sets to form a primary label matrix; multiplying the generated primary label matrix by the secondary label matrix to obtain a tertiary matrix; and based on the formed cubic matrix, taking a preset number of tags in the cubic matrix. In addition, the invention also provides a label extraction device based on big data. In addition, the invention also provides a computer readable storage medium. And the tag extraction accuracy and efficiency are improved.

Description

technical field [0001] The present invention relates to the field of big data technology, in particular to a method, device and computer-readable storage medium for extracting tags based on big data. Background technique [0002] Tags, as a characteristic of content, play a vital role in content understanding and recommendation systems. [0003] At present, for the extraction of tags in the industry, it is common to use professional dictionaries to extract tags from professional documents. For example, a plurality of words obtained by segmenting the text data of travel-related webpages, among the plurality of words, if there are keywords pre-stored in the travel dictionary, and the frequency of occurrence of the keywords is greater than the set threshold, then the keyword Words serve as labels for the text content of the web page. With the development of big data, the existing methods for extracting tags can no longer meet the requirements of various business developments,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/332G06K9/62G06N3/06G06N3/08
Inventor 张勇
Owner SHENZHEN COOCAA NETWORK TECH CO LTD
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