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A method, device, device and storage medium for extracting words from work order data

A technology of data extraction and words, which is applied in the field of information processing, can solve problems such as difficult to obtain key words, complicated content, and inconvenient sorting out concise and effective information.

Active Publication Date: 2022-06-24
北京零点远景网络科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the fields of government affairs, shopping evaluation, news, etc., the content sent by users through the network platform is usually complicated, and it is not easy to sort out concise and effective information from the information posted by users.
[0003] The information posted by the user is usually represented by the words in the information to represent the key information in the content posted by the user. At present, the algorithm based on the hidden Markov model, CRF conditional random field, etc. are usually used for word segmentation, and several words are obtained. The obtained words are user All the words in the published content, the words representing the key information are included in all the words, it is not easy for the work order handlers to get the required key words

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  • A method, device, device and storage medium for extracting words from work order data
  • A method, device, device and storage medium for extracting words from work order data
  • A method, device, device and storage medium for extracting words from work order data

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Embodiment Construction

[0103] The present application will be further described in detail below with reference to the accompanying drawings.

[0104] Those skilled in the art may, after reading this specification, make modifications to this embodiment without creative contribution as needed, but as long as they are within the scope of the claims of the present application, they are protected by the patent law.

[0105] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fa...

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Abstract

The present application relates to a method, device, device, and storage medium for extracting words from work order data, and relates to the field of information processing. The method includes obtaining work order text information, and processing the work order text information to obtain at least one Chinese character to be analyzed Combining, calculating the solidification degree value and the corresponding information entropy value corresponding to each combination of Chinese characters to be analyzed, the information entropy value includes at least one of the left information entropy value and the right information entropy value, based on each Chinese character to be analyzed The initial word set is determined by combining the corresponding information entropy value and solidification degree value, and the required word set is obtained by screening the initial word set. The present application has the effect of being easy to obtain the key words in the work order.

Description

technical field [0001] The present application relates to the field of information processing, and in particular, to a method, apparatus, device and storage medium for extracting words from work order data. Background technique [0002] In the fields of government affairs, shopping evaluation, news, etc., the content sent by users through network platforms is usually complex, and it is not convenient to sort out concise and effective information from the information released by users. [0003] The information posted by the user is usually represented by the words in the information to represent the key information in the content posted by the user. At present, the algorithm based on the hidden Markov model, the CRF conditional random field, etc. are usually used for word segmentation, and several words are obtained, and the obtained word is the user. All the words in the published content, the words that represent the key information are included in all the words, and it is ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/33G06F16/335G06F40/247G06F40/295
CPCG06F16/3344G06F16/335G06F40/247G06F40/295
Inventor 汤灏胡灿包利安
Owner 北京零点远景网络科技有限公司