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

A text classification and text technology, applied in text database clustering/classification, unstructured text data retrieval, semantic analysis, etc., can solve the problem of lack of keyword local information extraction, unfavorable real estate evaluation, and low accuracy of real estate text classification and other issues to achieve the effect of improving the accuracy

Pending Publication Date: 2021-04-02
ONE CONNECT SMART TECH CO LTD SHENZHEN
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Problems solved by technology

[0003] At present, for the classification of real estate texts, the traditional Text-RNN model is used to classify real estate texts according to the overall information of real estate texts. However, this method lacks the extraction of local information of keywords in real estate texts, resulting in The accuracy of text classification is low, which is not conducive to the evaluation of real estate by enterprises

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

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Embodiment Construction

[0048] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] An embodiment of the present application provides a text classification method. The subject of execution of the text classification method includes, but is not limited to, at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the text classification method can be executed by software or hardware installed on the terminal device or server device, and the software can be a block chain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.

[0050] refer to figure 1 As shown, it is a schematic flowchart of a text classification method provided by an embodiment of the present invention. In this em...

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Abstract

The invention relates to the field of intelligent decision making, and discloses a text classification method, which comprises the steps of cleaning an original text to obtain a target text, performing word segmentation on the target text to obtain a word segmentation set, extracting a keyword set, and obtaining a position information set and a part-of-speech information set of the keyword set; converting the keyword set, the position information set and the part-of-speech information set into a keyword vector set, a position information vector set and a part-of-speech information vector set,carrying out vector splicing to obtain a target word vector set, identifying semantic information of the target word vector set by utilizing a semantic identification model to obtain a word semantic information set, and identifying the text category of the target text according to the text semantic information of the target text and the word semantic information set. The invention also relates toa blockchain technology, and the target text can be stored in a blockchain node. The invention further provides a text classification device, electronic equipment and a readable storage medium. According to the invention, the text classification accuracy can be improved.

Description

technical field [0001] The invention relates to the field of intelligent decision-making, in particular to a text classification method, device, electronic equipment and readable storage medium. Background technique [0002] When evaluating real estate, in order to control the production cost of real estate and meet the requirements of precise production, it is necessary to extract relevant information from various texts of real estate to fully understand the relevant situation of real estate. As the scale of enterprises increases, the number of real estate documents also increases. How to deal with a large number of real estate documents and correctly classify them is an urgent problem to be solved. [0003] At present, for the classification of real estate texts, the traditional Text-RNN model is used to classify real estate texts according to the overall information of real estate texts. However, this method lacks the extraction of local information of keywords in real es...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F40/284G06F40/30G06F40/126G06Q50/16
CPCG06F16/35G06F40/284G06F40/30G06F40/126G06Q50/16
Inventor 蒋宏达徐国强
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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