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Keyword generation method, storage medium, keyword generation device and server

A technology of keywords and words, which is applied in the field of natural language processing, can solve problems such as heavy labeling workload, ignoring keywords, and inability to recognize keywords, so as to achieve the effects of improving accuracy, reducing the amount of labeling, and saving labor costs

Pending Publication Date: 2022-05-17
ZHENGZHOU FULIAN INTELLIGENT WORKSHOP CO LTD
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  • Abstract
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Problems solved by technology

[0002] Nowadays, traditional keyword extraction methods cannot identify keywords in texts in special fields. When segmenting texts in special fields, words related to special fields are separated by traditional keyword segmentation tools, so that traditional keywords The extraction method cannot extract keywords related to special fields, where special field texts such as manufacturing texts, medical device industry texts, etc.
When using the keyword extraction method based on deep learning, specific types of keywords can be accurately extracted. However, the keyword extraction method based on deep learning requires strict and accurate annotation of the text to be mined. Key words that are marked but can reflect the main purpose of the article

Method used

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  • Keyword generation method, storage medium, keyword generation device and server
  • Keyword generation method, storage medium, keyword generation device and server
  • Keyword generation method, storage medium, keyword generation device and server

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Embodiment Construction

[0068] In order to understand the purpose, features and advantages of the present application more clearly, the present application will be described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other. Many specific details are set forth in the following description to facilitate a full understanding of the present application, and the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments.

[0069] In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, features defined as "first" and "second" may explicitly or implicitly include one or more of...

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Abstract

The invention provides a keyword generation method, which comprises the following steps of: extracting a first important word in a to-be-mined text based on the to-be-mined text in a first extraction mode; based on a second extraction mode, extracting a second important word in the to-be-mined text; based on the first important word and the second important word, unifying word forms and forming an initial important word set which comprises keywords and non-keywords; based on the initial important word set, non-keywords are removed, and a keyword set is generated. According to the keyword generation method, the important words are extracted in two modes, the annotation amount of the to-be-mined text is reduced, the labor cost is saved, and the keyword extraction accuracy is improved. The embodiment of the invention provides a storage medium comprising the keyword generation method and a keyword generation device. The embodiment of the invention provides a server comprising the keyword set.

Description

technical field [0001] The present application relates to the technical field of natural language processing, and in particular to a keyword generation method, a storage medium, a keyword generation device and a server. Background technique [0002] Nowadays, traditional keyword extraction methods cannot identify keywords in texts in special fields. When segmenting texts in special fields, words related to special fields are separated by traditional keyword segmentation tools, so that traditional keywords The extraction method cannot extract keywords related to special fields, such as texts in special fields such as manufacturing texts, medical device industry texts, etc. When using the keyword extraction method based on deep learning, specific types of keywords can be accurately extracted. However, the keyword extraction method based on deep learning requires strict and accurate annotation of the text to be mined. Key words that are marked but can reflect the main idea of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/289G06F40/216
CPCG06F40/289G06F40/216
Inventor 陈文钦詹念怡聂颖颖李玲艳
Owner ZHENGZHOU FULIAN INTELLIGENT WORKSHOP CO LTD
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