Information extraction method, device, electronic device and storage medium

Abstract

The disclosure relates to an information extraction method, device, electronic equipment, and storage medium, and relates to the field of information processing technology, and is used to solve the problems in related technologies that the object meta-information is relatively complex, lacks pertinence, and cannot be applied accurately and efficiently. Including: obtaining the tag set corresponding to the target object and the account information of the target account, wherein the tag set includes at least two tags used to describe the object; based on the preset mapping method, obtaining the attention feature mapped according to the account information, wherein the attention The feature includes the weight corresponding to each tag in the tag set, and the preset mapping method is determined according to the historical behavior of the sample object corresponding to the sample account; according to the attention feature and the tag set, determine the target object meta information corresponding to the target account. Since the attention feature associated with the user can be obtained in the embodiment of the present disclosure, it can indicate the attention degree of the user to each tag in the tag set, and describe the target object in a targeted manner.

Description

technical field [0001] The present disclosure relates to the technical field of information processing, and in particular to an information extraction method, device, electronic equipment, and storage medium. Background technique [0002] With the rapid development of science and technology, deep learning has been widely used in video images, speech recognition, natural language processing and other related fields. As an important branch of deep learning, convolutional neural network (CNN) has greatly improved the prediction accuracy of image classification tasks due to its strong fitting ability and end-to-end global optimization ability. [0003] Although the accuracy of the model has been greatly improved, it has a certain limit with normal usage scenarios. Due to the large number of feature dimensions perceived by the algorithm, it is difficult to describe the video in a more targeted manner and apply it to specific scenarios. For example, in the search scenario, the u...

AI Technical Summary

Problems solved by technology

[0004] The present disclosure provides an information extraction method, device, electronic equipment, and storage medium to at least solve the problem that the object meta-information in related technologies is relatively complex, lacks pertinence, and cannot be applied accurately and efficiently

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