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Text relation processing method, device and equipment based on text analysis

A text analysis and relationship processing technology, applied in the computer field, can solve the problem of inability to accurately obtain the causal strength relationship of event texts, and achieve the effect of avoiding information loss and improving accuracy.

Pending Publication Date: 2022-07-29
CCB FINTECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides a text analysis-based text relationship processing method, device and equipment to solve the problem that the causal strength relationship of the event text cannot be accurately obtained

Method used

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  • Text relation processing method, device and equipment based on text analysis
  • Text relation processing method, device and equipment based on text analysis
  • Text relation processing method, device and equipment based on text analysis

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Embodiment Construction

[0050] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with this application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as recited in the appended claims.

[0051] First, the terms involved in this application are explained:

[0052] Affinity Graph: It is an event logic knowledge base, which describes the evolution laws and patterns between events. It is a directed cyclic graph in structure. Nodes represent events, and directed edges represent succession, causality, and upper and lower levels between events. etc. relationship.

[0053] Contrastive ...

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Abstract

The invention provides a text relation processing method, device and equipment based on text analysis. The method comprises the steps that a target event group text is obtained, the target event group text comprises a first event text and a second event text which have a causal relationship, the first event text represents a reason event text, and the second event text represents a result event text; determining semantic causal strength information and word frequency causal strength information of the target event group text; according to the semantic causal strength information and the word frequency causal strength information, target causal strength information of the target event group text is determined, and the target causal strength information represents the causal strength relation between the first event text and the second event text. According to the method, the causal strength information of the event text is determined based on the semantic information and word frequency information of the target event group text, information loss is avoided, and the accuracy of determining the causal strength relationship of the event text is improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to a text relationship processing method, apparatus and device based on text analysis. Background technique [0002] An event that takes place at a specific time and place, involves one or more characters, and consists of one or more actions is called an event. All walks of life are generating massive amounts of event texts, such as finance. Therefore, we not only need to effectively store, calculate and analyze massive event texts, but also need to mine potential value from massive event texts and explore the law of event development and change. [0003] In the prior art, the causal intensity relationship of the event text is usually determined by calculating the causal intensity relationship of words appearing in the causal event and the resultant event. [0004] However, in the prior art, taking words as the granularity to represent events inevitably has inform...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F16/335G06F40/216G06F40/30
CPCG06F16/3344G06F16/335G06F40/216G06F40/30
Inventor 马宁亚林廷懋付博
Owner CCB FINTECH CO LTD
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