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Context mining method and device based on clustering algorithm and electronic equipment

A technology of electronic equipment and mining devices, which is applied in text database clustering/classification, computing, electrical digital data processing, etc., can solve the problems of huge volume of call texts and low efficiency of dialogue text analysis, and achieve the effect of improving efficiency

Pending Publication Date: 2020-06-16
BEIJING SINOVOICE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] When analyzing the dialogue text, if you want to understand the main content of the call text, you can only view the text content one by one, and the amount of call text in the general application scenario is extremely large, which leads to the low efficiency of the current dialogue text analysis

Method used

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  • Context mining method and device based on clustering algorithm and electronic equipment
  • Context mining method and device based on clustering algorithm and electronic equipment
  • Context mining method and device based on clustering algorithm and electronic equipment

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0038] figure 1 It is a flowchart of a context mining method based on a clustering algorithm in an embodiment of the present application.

[0039] refer to figure 1 As shown, the context mining method provided in this embodiment is applied to electronic devices such as computer clients and servers, and the context mining is specifically realized through the following methods:

[0040] S1. Screen out key sentences and related sentences from the call text

[0041] As a method applied to electronic equipment, when a mining request input by a user is received, the call text to be mined is screened according to the keyword specified by the mining request, and the sentence containing the keyword is found, that is, the key sentence; While obtaining the key sentence, multiple sentences above and below the key sentence are intercepted from the call text.

[0042] For example, given the keyword "logout", we filter out key sentences containing the keyword "logout" in the call text, an...

Embodiment 2

[0058] image 3 It is a block diagram of a context mining device based on a clustering algorithm according to an embodiment of the present application.

[0059] refer to image 3 As shown, the context mining device provided in this embodiment is applied to electronic devices such as computer clients and servers, and specifically includes a text filtering module 10 , a clustering processing module 20 and a construction processing module 30 .

[0060] The text filtering module is used to filter out key sentences and related sentences from the call text

[0061] As a method applied to electronic equipment, when a mining request input by a user is received, the call text to be mined is screened according to the keyword specified by the mining request, and the sentence containing the keyword is found, that is, the key sentence; While obtaining the key sentence, multiple sentences above and below the key sentence are intercepted from the call text.

[0062] For example, given the...

Embodiment 3

[0077] This embodiment provides an electronic device, such as a computer terminal device or a server, which is provided with the mining device based on a clustering algorithm provided in the previous embodiment. The device is used to respond to the user's mining request, screen the pre-prepared call text according to the keyword specified by the mining request, obtain a plurality of key sentences containing keywords, and intercept multiple sentences directly connected with the key sentence from the call text. related sentences; perform unsupervised clustering processing on multiple key sentences to obtain multiple sentence clusters; for each sentence cluster, construct context according to keywords and related sentences. Because this solution realizes the context construction for corresponding keywords based on electronic equipment, users can analyze the important topics and idioms of a large amount of call texts according to the constructed context content, without having to c...

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Abstract

The invention provides a context mining method and device based on a clustering algorithm and electronic equipment. The method and the device specifically comprise the following steps: in response toa mining request of a user, screening from a pre-prepared call text according to a keyword specified by the mining request to obtain a plurality of key sentences containing the keyword; and intercepting a plurality of associated sentences directly connected with the key sentences from the call text; performing unsupervised clustering processing on the plurality of key sentences to obtain a plurality of sentence clusters; and for each statement cluster, performing context construction according to the keywords and the associated statements. According to the scheme, context construction for thecorresponding keywords is realized on the basis of the electronic equipment, so that a user can analyze important topics, verbal skills and the like of massive call texts according to the constructedcontext contents without viewing the text contents one by one, and the call text analysis efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of speech processing, in particular to a clustering algorithm-based context mining method, device and electronic equipment. Background technique [0002] When analyzing the dialogue text, if you want to understand the main content of the call text, you can only view the text content one by one, and the amount of call text in general application scenarios is extremely large, which leads to the low efficiency of the current dialogue text analysis. Contents of the invention [0003] In view of this, the present invention provides a context mining method, device and electronic equipment based on a clustering algorithm, so as to improve the efficiency of analyzing the call text. [0004] In order to solve the above problems, the present invention discloses a context mining method based on a clustering algorithm, which is applied to electronic equipment, and the context mining method includes steps: [0005] In...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F16/332
CPCG06F16/35G06F16/3329Y02D10/00
Inventor 胡洪兵李健武卫东
Owner BEIJING SINOVOICE TECH CO LTD
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