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Multi-label classification model training method

A classification model and training method technology, applied in the field of model training, can solve problems such as poor migration ability, weak generalization ability, and too late to respond to government policy changes, and achieve the effect of accurate classification

Active Publication Date: 2022-02-25
北京零点远景网络科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Government information is time-sensitive and long-term. At present, the general classification method is to classify government information through keyword collision and matching. This method requires manual access, and has weak generalization ability and poor migration ability. It not only increases labor costs, but may also lead to Enterprises cannot obtain effective information in a timely manner, and it is too late to respond to government policy changes

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Embodiment Construction

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments It is a part of the embodiments of the present disclosure, but not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present disclosure.

[0047] In addition, the term "and / or" in this article is only an association relationship describing associated objects, which means that there may be three relationships, for example, A and / or B, which may mean: A exists alone, A and B exist at the same time, There are three cases of B alone. In addition, the character " / " in this article ...

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Abstract

The embodiment of the invention provides a multi-label classification model training method and device, equipment and a computer readable storage medium. The method comprises the steps of obtaining a government affair data sample set; preprocessing the government affair data sample set, and converting text information in the sample set into semantic vectors; and taking the semantic vector as input, taking the probability values of all event tags as output, constructing a multi-tag scene loss function through a BERT model, adopting a transform model as vector feature extraction representation, and training a multi-tag classification model. In this way, rapid and accurate classification of government affair data is realized.

Description

technical field [0001] Embodiments of the present disclosure generally relate to the technical field of model training, and more specifically, relate to a training method, device, device, and computer-readable storage medium of a multi-label classification model. Background technique [0002] Government information plays a critical role in the life and death of enterprises. Enterprises need to keep abreast of government regulations and bidding information, seize important opportunities, and realize the prosperity and development of enterprises. There are many service companies that provide bidding information in China, but government information includes not only bidding information, but also economic and tax policies, industry management methods, innovation and entrepreneurship, industrial base construction, demonstration projects, bidding, talent introduction, etc. Saying the same is crucial. Therefore, classifying domestic government information and screening information...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/30G06F16/35G06K9/62
CPCG06F40/30G06F16/35G06F18/214
Inventor 吉文标包利安汤灏
Owner 北京零点远景网络科技有限公司