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Text classification method and device

A text classification, text technology, applied in the field of artificial intelligence, can solve problems such as high cost and low efficiency

Pending Publication Date: 2022-03-25
CHINA CONSTRUCTION BANK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, when classifying such texts, it is relatively inefficient to use a simple NER model to extract named entities, and it is necessary to use a large amount of data to train the NER model in advance so that it can recognize texts in different formats, and the cost is relatively high.

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  • Text classification method and device

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Embodiment Construction

[0050] The acquisition, storage, use, and processing of data in the technical solution of this application all comply with the relevant provisions of national laws and regulations.

[0051] In order to make the purpose, technical solutions and advantages of the embodiments of the application clearer, the technical solutions of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the application. Obviously, the described embodiments are the Some embodiments of the technical solution, but not all embodiments. Based on the embodiments described in the application documents, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the technical solutions of the present application.

[0052] The terms "first" and "second" in the specification and claims of the present application and the above drawings are used to distinguish diffe...

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Abstract

The invention discloses a text classification method and device, is applied to the technical field of artificial intelligence, and is used for improving the text classification efficiency. The method comprises the following steps: splitting a to-be-classified text to obtain a plurality of sub-texts; analyzing the sub-texts in different formats by adopting different methods, and determining the category of each sub-text; determining the category of the to-be-classified text according to the categories of the plurality of word texts; wherein the analysis methods corresponding to the sub-texts in different formats can be configured in advance. Compared with the prior art in which a single mode is adopted for text analysis and classification, the scheme of the application proposes that different analysis modes are adopted for the sub-texts in different formats, and the accuracy of text classification can be improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a text classification method and device. Background technique [0002] At present, the text classification method based on artificial intelligence is to extract the named entity in the text through the Named Entity Recognition (NER) model, and judge its category, such as judging whether the extracted named entity belongs to a person, a place name, or an amount, etc. Then classify the text based on the determined category, and further associate or put the determined text into a corresponding collection. [0003] However, because some texts to be classified have a lot of content, and the content in different positions in the text may be written in different formats. For example, the commodity description information in the letter of credit message includes a lot of content, such as commodity name, commodity shipment details, price terms, customs number, c...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F40/44G06F40/295G06F40/284G06N3/04G06N3/08
CPCG06F40/295G06N3/08G06F40/284G06F40/44G06N3/044G06F18/241
Inventor 张岩
Owner CHINA CONSTRUCTION BANK