Text classification method and device, computer equipment and computer readable storage medium

A text classification and text technology, applied in the field of artificial intelligence, can solve problems such as poor model classification effect, poor text semantic expression ability, and affect text classification accuracy, so as to achieve the effect of improving accuracy and strong semantic expression ability

Pending Publication Date: 2022-07-22
CHINA PING AN LIFE INSURANCE CO LTD
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AI Technical Summary

Problems solved by technology

In related technologies, marked text corpus is usually used to train models. If the amount of marked text corpus is insufficient or the quality is not good, the classification effect of the trained model will be poor. In addition, due to the complex semantics of the text, the same word in different There may be completely opposite meanings in the semantic combination, which makes the semantic expression ability of the text poor and affects the accuracy of text classification

Method used

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  • Text classification method and device, computer equipment and computer readable storage medium
  • Text classification method and device, computer equipment and computer readable storage medium
  • Text classification method and device, computer equipment and computer readable storage medium

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Embodiment Construction

[0056]In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0057] It should be noted that although the functional modules are divided in the schematic diagram of the device, and the logical sequence is shown in the flowchart, in some cases, the modules may be divided differently from the device, or executed in the order in the flowchart. steps shown or described. The terms "first", "second" and the like in the specification, claims or the above drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. Furthermore, the terms "comprising" or "having" and any variations thereof are intende...

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Abstract

The invention relates to the technical field of artificial intelligence, and provides a text classification method and device, computer equipment and a computer readable storage medium, the text classification method comprises the following steps: obtaining a keyword list, the keyword list comprising a plurality of keywords related to a text classification task; obtaining a to-be-classified text; performing keyword matching on the to-be-classified text according to the keyword list to generate a corresponding first feature list; obtaining a text classification model pre-trained to a convergence state; based on the text classification model, the keyword list, the to-be-classified text and the first feature list are processed to obtain prediction probability distribution, and the prediction probability distribution comprises probabilities of a plurality of preset classification labels; and determining the text type of the to-be-classified text according to the prediction probability distribution, so that higher semantic expression capability can be achieved, and the accuracy of text classification is improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and in particular, to a text classification method, apparatus, computer equipment and computer-readable storage medium. Background technique [0002] With the continuous development of artificial intelligence, great progress has been made in natural language processing (NLP) related technologies based on deep learning. Text classification is an important application direction in the field of NLP. The data is classified to determine the category to which each text belongs, so that the user can easily obtain the desired text. In related technologies, the annotated text corpus is usually used to train the model. If the quantity or quality of the annotated text corpus is insufficient, the classification effect of the trained model will be deteriorated. In addition, due to the complex semantics of the text, the same word in different There may be completely opposite meanings i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F40/284G06F40/30G06F16/35
CPCG06F40/30G06F40/284G06F16/353G06F18/22G06F18/2415G06F18/214
Inventor 陆凯
Owner CHINA PING AN LIFE INSURANCE CO LTD
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