Label acquisition method and device, storage medium and electronic device

An acquisition method and label technology, applied in the field of data processing, can solve the problem of low accuracy of classification results, achieve the effect of improving the accuracy of label classification and solving mutual independence

Pending Publication Date: 2020-02-14
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a tag acquisition method and device, a storage medium, and an electronic device, so as to at least solve the technical problem that different tag categories are independent of each other and the accuracy of the identified classification results is not high during the text classification process

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  • Label acquisition method and device, storage medium and electronic device
  • Label acquisition method and device, storage medium and electronic device
  • Label acquisition method and device, storage medium and electronic device

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Embodiment Construction

[0055] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0056] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention discloses a label acquisition method and device, a storage medium and an electronic device. The method comprises the steps of obtaining a content vector of a to-be-classified text; inputting the content vector of the text to be classified into the classifier; obtaining the probability that the to-be-classified text output by the classifier belongs to n labels; wherein the classifiercomprises n nodes, wherein the n labels are labels corresponding to pre-acquired training data, each node represents one label in the n labels, the input vector of each node in the training process isdetermined according to the node vector of the node and the node vector of an adjacent node having an adjacent relationship with the node, and n is a natural number. According to the method and the device, the technical problems that different label categories are mutually independent in a text classification process and the precision of an identified classification result is not high are solved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a tag acquisition method and device, a storage medium and an electronic device. Background technique [0002] The current text multi-label classification is mainly based on convolutional neural network (Convolutional Neural Network, referred to as CNN), recurrent neural network (Recurrent Neural Network, referred to as RNN), long-short term memory (Long-short term memory, referred to as LSTM) and other methods A method of extracting text content vectors and then performing multi-label classification. In the process of text classification by the above method, different label categories are independent of each other, and the accuracy of the recognized classification results is not high. [0003] Aiming at the problem in the prior art that different label categories are independent of each other in the process of text classification and the accuracy of the recognize...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06N3/04
CPCG06F16/353G06N3/045
Inventor 刘龙坡
Owner TENCENT TECH (SHENZHEN) CO LTD
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