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Text keyword recognition method and device, computer equipment and readable storage medium

A recognition method and keyword technology, applied in computing, electrical digital data processing, instruments, etc., can solve problems such as the inability to accurately grasp the core meaning of text information, and achieve the effect of improving accuracy

Pending Publication Date: 2020-11-24
ONE CONNECT SMART TECH CO LTD SHENZHEN
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a text keyword recognition method, device, computer equipment and readable storage medium, which is used to solve the problem in the prior art that the obtained keywords cannot accurately grasp the core meaning of text information; the present application It can be applied in smart government affairs scenarios to promote the construction of smart cities

Method used

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  • Text keyword recognition method and device, computer equipment and readable storage medium
  • Text keyword recognition method and device, computer equipment and readable storage medium
  • Text keyword recognition method and device, computer equipment and readable storage medium

Examples

Experimental program
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Embodiment 1

[0047] see figure 1 , a text keyword recognition method of the present embodiment, comprising:

[0048]S1: Obtain text information, and perform word segmentation on the text information to obtain a vocabulary set.

[0049] In this step, the text information is segmented by natural language technology (NLP) to obtain a vocabulary set with at least one vocabulary; Language technology combines the context of the text information to more accurately segment the text information, providing a reliable word segmentation premise for accurately identifying keywords and grasping the core meaning of the text information.

[0050] Exemplarily, the acquired text information is such as: "a noble person, a pure person, a moral person, a person who is free from vulgar interests, and a person who is beneficial to the people", then through NLP natural language extraction technology Segmentation of the text information to get: "a / noble / of / person, a / pure / of / person, a / moral / of / person, a / out of vu...

Embodiment 2

[0119] see Figure 7 , a text keyword recognition device 1 of the present embodiment, comprising:

[0120] Input word segmentation module 11, for obtaining text information, carry out word segmentation to described text information and obtain vocabulary set;

[0121] The term frequency association module 12 is used to calculate the word frequency of each vocabulary in the vocabulary set, split the vocabulary set to obtain the sub-vocabulary set and the association relationship between each vocabulary in the sub-vocabulary set, according to the word frequency of each vocabulary in the sub-vocabulary set Word frequency, and the association relation of each vocabulary obtains the total vocabulary with characteristic value, and wherein, described characteristic value has reflected the key degree of vocabulary in text information;

[0122] The keyword identification module 13 is configured to arrange the words in the general vocabulary according to their feature values, and set wo...

Embodiment 3

[0125] In order to achieve the above object, the present invention also provides a computer device 2. The components of the text keyword recognition device 1 in Embodiment 3 can be dispersed in different computer devices, and the computer device 2 can be a smart phone or a tablet computer that executes a program. , notebook computer, desktop computer, rack server, blade server, tower server or cabinet server (including independent server, or server cluster composed of multiple application servers), etc. The computer equipment in this embodiment at least includes but is not limited to: a memory 21 and a processor 21 that can communicate with each other through a system bus, such as Figure 8 shown. It should be pointed out that, Figure 8 Only a computer device is shown with the components - but it should be understood that implementing all of the illustrated components is not a requirement and that more or fewer components may instead be implemented.

[0126] In this embodim...

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Abstract

The invention relates to the technical field of intelligent decision making of artificial intelligence, and discloses a text keyword recognition method. The method comprises the steps of obtaining text information, and performing word segmentation on the text information to obtain a vocabulary set; calculating the word frequency of each vocabulary in the vocabulary set, splitting the vocabulary set to obtain a sub-vocabulary set and an association relationship among the vocabularies in the sub-vocabulary set, and obtaining a total vocabulary table with characteristic values according to the word frequency of each vocabulary in the sub-vocabulary set and the association relationship among the vocabularies; and arranging the vocabularies in the total vocabulary table according to the characteristic values, and setting the vocabularies of which the characteristic values exceed a preset characteristic threshold value as keywords. The invention also relates to a blockchain technology, and information can be stored in the blockchain node. The key degree of the vocabulary is evaluated from two dimensions of the word frequency of each vocabulary in the vocabulary set and the degree of dependence of any vocabulary in the vocabulary set by other vocabularies, so that the accuracy of obtaining the keyword capable of reflecting the core meaning of the text information is improved.

Description

technical field [0001] The invention relates to the technical field of intelligent decision-making of artificial intelligence, in particular to a text keyword recognition method, device, computer equipment and readable storage medium. Background technique [0002] For corporate public opinion information, the current method adopted by mainstream public opinion suppliers is mainly to match the thesaurus to achieve the effect of word segmentation for text information. And carry out a simple quantity sorting to words, for the vocabulary with more quantity, then serve as corresponding keywords. [0003] However, the inventor realizes that the current method usually uses the number of occurrences of words as the evaluation index of the key degree of words, so often these conjunctions, prepositions, quantifiers, etc. If words that have nothing to do with the meaning of the text information are used as keywords, then the keywords obtained by the above method will not be able to ac...

Claims

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Application Information

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IPC IPC(8): G06F40/216G06F40/289
CPCG06F40/216G06F40/289
Inventor 魏晓茹
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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