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Classification model training method and device, equipment and storage medium

A classification model and type of technology, applied in text database clustering/classification, special data processing applications, unstructured text data retrieval, etc., can solve problems such as poor classification effect, and achieve the goal of improving recall rate and accuracy rate Effect

Pending Publication Date: 2019-11-15
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, when there are a large number of text types, if the distinction between texts cannot be distinguished by extracting features, the current classification model is used to classify texts, and the classification effect is not good.

Method used

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  • Classification model training method and device, equipment and storage medium
  • Classification model training method and device, equipment and storage medium
  • Classification model training method and device, equipment and storage medium

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Experimental program
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Embodiment Construction

[0053] Embodiments of the present application provide a classification model training method, device, device, and storage medium for realizing accurate text classification, which not only improves the accuracy rate of text classification, but also improves the recall rate of text classification.

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some, not all, embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0055] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and not necessarily ...

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Abstract

The embodiment of the invention discloses a classification model training method, which is used for realizing accurate classification of texts, and not only improves the accuracy of text classification, but also improves the recall rate of text classification. The classification model training method provided by the embodiment of the invention comprises the steps of obtaining N texts of a first type and N texts of a second type, N being a positive integer; combining every two of the N texts of the first type or the N texts of the second type to obtain at least one target text pair; determininga target sample set according to the types of the two texts in the target text pair; carrying out preset training operation on the target sample set, obtaining a trained target model, wherein the trained target model is used for classifying texts. The embodiment of the invention further provides a corresponding device, equipment and a storage medium.

Description

technical field [0001] The embodiments of the present application relate to training model generation technologies in the computer field, and in particular to a classification model training method, device, device, and storage medium. Background technique [0002] With the development of the network and the progress of the times, a large amount of text information is publicly published on the platform for users to query and read. In order to create a good query platform for users, it is necessary to distinguish the types of texts, that is, use computers to automatically classify text sets according to certain classification systems or standards and mark each type of text. [0003] At present, there is a method for classifying massive text information. This classification method mainly regards each text as an independent sample, so that it can be manually labeled and positive unlabeled learning (positive unlabeled learning, PU-learning) respectively. There are two ways to ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35
CPCG06F16/355
Inventor 顾立瑞胡雨成
Owner TENCENT TECH (SHENZHEN) CO LTD