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A method and device for extracting text keywords

A keyword and text technology, which is applied in the field of electronic data processing and processing, can solve the problems of low representativeness of keywords and achieve the effect of improving accuracy

Inactive Publication Date: 2020-08-07
NEW FOUNDER HLDG DEV LLC +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] For this reason, the technical problem to be solved by the present invention is that the method for extracting text keywords in the prior art is simply obtained by a machine, and the representativeness of the keywords is not strong, so an extraction method that combines user feedback and better reflects the text content is proposed Keyword methods and apparatus

Method used

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  • A method and device for extracting text keywords
  • A method and device for extracting text keywords
  • A method and device for extracting text keywords

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0073] This embodiment provides a method for extracting text keywords, which is used to obtain the text keywords in the text, including the following process:

[0074] S101. Determine a first keyword according to text content.

[0075] The method for extracting keywords according to the text content adopts the method in the prior art, which mainly includes the following process: performing word segmentation on the text, obtaining the word segmentation result, counting the number of occurrences of each word after the word segmentation, and using the words with high frequency of occurrence as keywords ; or calculate the semantic vectors of all words after word segmentation, and calculate the importance according to the semantic vectors, and use some words with high importance as keywords. In addition, other methods in the prior art can also be used to extract the keywords of the text, and the existing methods for obtaining keywords mainly through the content of the text can be a...

Embodiment 2

[0086] This embodiment provides another method for extracting text keywords. The method in this embodiment considers the user attributes that provide feedback information, and extracts the second keyword for the feedback text with the same user attribute information, so that the second keyword Word extraction has better guidance. The steps of this method are as follows:

[0087] S101. Determine a first keyword according to text content. This step is the same as that in Embodiment 1, and will not be repeated here.

[0088] S102. Extract user feedback information of the text content. The manner of extracting the feedback information in this step is the same as that in Embodiment 1, and will not be repeated here.

[0089] S103. Determine a second keyword according to the feedback information. Including the following process:

[0090] First, the user attribute information corresponding to the feedback text is acquired.

[0091] Each piece of feedback information corresponds ...

Embodiment 3

[0101] In this embodiment, another method for extracting text keywords is provided, taking into account the current user who requests keyword extraction and the user who provides feedback information at the same time. The specific way is as follows:

[0102] S101. Determine a first keyword according to text content. This step is the same as that in Embodiment 1, and will not be repeated here.

[0103] S102. Extract user feedback information of the text content. The manner of extracting the feedback information in this step is the same as that in Embodiment 1, and will not be repeated here.

[0104] S103. Determine a second keyword according to the feedback information. Including the following process:

[0105] First, obtain the user attribute information of the requesting user. The requesting user here refers to the user who initiates the keyword extraction instruction. The keywords can be stored in advance, or can be calculated after receiving the extraction request fro...

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Abstract

The invention provides a method for extracting keywords of a text, the keywords can be extracted according to a text content and feedback information of a user, and then obtained keywords are combined to serve as keywords of the text, and in this way, the feedback information of the user can be fused well; and because the feedback information of the user is more targeted, the keywords which is more relevant with the text can be extracted; and the method can solve the problem that obtained keywords by adoption of the conventional method for extracting keywords from the text content is low in accuracy, is low in relevancy, and is incomplete in coverage in the prior art. The method can completely and accurately extracts the keywords of the text through the feedback information of the user.

Description

technical field [0001] The invention relates to an electronic data processing method, in particular to a method and device for extracting text keywords. Background technique [0002] With the continuous development of electronic information technology, electronic resources are becoming more and more popular. The data volume of electronic resources is also becoming larger and larger. In order to find the required information from the massive data, it is particularly important to classify and search the data. In order to better classify data and facilitate data search and statistics, tags or index words are generally extracted from text, and these words that can identify text content are called keywords. These keywords can be used for text classification, statistics, and search . [0003] Because the classification of digital electronic resources and the search for related resources are inseparable from keywords, the accuracy of keywords determines whether the classification...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35G06F16/33G06F40/289G06F40/30
Inventor 孟令彬陈奕雷
Owner NEW FOUNDER HLDG DEV LLC