Text classification model training method, text classification method and related device

Abstract

An embodiment of the present invention provides a text classification model training method, a text classification method and related devices. The text classification model training method includes: obtaining a text classification data set for classification training; using a text classification model to obtain each of the training classification texts target word vector, and obtain the number of word vectors; based on the number of word vectors, the position of each of the target word vectors and the number of predetermined levels, obtain the position level and level vector; according to each of the target word vectors and level vectors, obtain training position text matrix, and obtain the estimated text category of the training classification text; obtain the accuracy rate of the estimated classification category of the text category data set, and adjust the parameters of the text classification model according to the accuracy rate until the When the accuracy rate reaches the accuracy rate threshold, the trained text classification model is obtained. The embodiments of the present invention can provide a basis for improving the accuracy of text classification, and further improve the accuracy of text classification.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and in particular to a text classification model training method, a text classification method and related devices. Background technique [0002] In order to recommend information for users in a more targeted manner and improve the efficiency and quality of users' acquisition of required information, users need to be classified, that is, user tags are constructed to provide different types of information for different types of users. [0003] When constructing user tags, it can be done from multiple aspects based on a variety of information, and with the popularity of online Internet platforms, it is possible to use address text to classify users. [0004] However, the current text classification methods are less accurate in classifying similar texts such as addresses. Therefore, how to provide a basis for improving the accuracy of text classification, and then i...

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Problems solved by technology

[0004] However, the current text classification methods are less accurate in classifying similar texts such as addresses. Therefore, how to provide a basis for improving the accuracy of text classification, and then improve the accuracy of text classification, has become an urgent problem to be solved. technical problem

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