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A business intelligence gathering method based on natural language processing

A technology of natural language processing and intelligence collection, applied in the field of data processing, can solve problems such as the inability to guarantee the timeliness, security, accuracy, and continuity of services, and improve domain adaptability and learning ability , the effect of improving the accuracy rate

Inactive Publication Date: 2019-02-01
成都航天科工大数据研究院有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above-mentioned problems existing in the prior art, the purpose of the present invention is to provide a business intelligence collection method based on natural language processing, which is used to solve the problems existing in the prior art that cannot guarantee the timeliness, security, and accuracy of providing services, and The problem of not guaranteeing the continuity of service

Method used

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  • A business intelligence gathering method based on natural language processing
  • A business intelligence gathering method based on natural language processing
  • A business intelligence gathering method based on natural language processing

Examples

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Embodiment 1

[0056] like figure 1 As shown, a business intelligence collection method based on natural language processing includes the following steps:

[0057] S1: Set the scope of collection and build a basic corpus;

[0058] S2: Build a learning model based on the established basic corpus;

[0059] S3: According to the scope of collection, use the learning model to collect the corresponding sentences;

[0060] S4: Analyze the collected sentences and obtain the analysis results;

[0061]S5: According to the analysis result, conduct attitude analysis to judge whether the sentence has corpus value, if so, add the corresponding sentence to the basic corpus, and return to step S3, otherwise directly go to step S6;

[0062] S6: According to the current basic corpus, such as figure 2 As shown, information collection is carried out.

[0063] Preferably, in step S3, use a crawler tool to collect corresponding sentences according to the basic corpus set up; for specific theme requirements,...

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Abstract

The invention belongs to the field of data processing, and discloses a business information collection method based on natural language processing, comprising the following steps: S1, setting a collection range and establishing a basic corpus; S2: Constructing the learning model according to the basic corpus; S3, according to the collection scope, using the learning model to collect the corresponding statements; S4, parsing the collected statements to obtain the parsing result; 5, perform attitude analysis according to that analyze result, judging whether the sentence has corpus value, if yes,adding the correspond sentence into the basic corpus, and returning to the step S3, otherwise directly entering the step S6; 6, collect information according to that current basic corpus; The invention solves the problems of the prior art that the timeliness, the safety, the accuracy and the continuity of the service can not be guaranteed.

Description

technical field [0001] The invention belongs to the field of data processing, and in particular relates to a business intelligence collection method based on natural language processing. Background technique [0002] In order to ensure that the marginal benefit of increasing output is close to the limit, producers need to obtain timely and effective relevant feedback from consumers, so as to provide a factual basis for the next step of production selection and strategic decision-making. Compared with traditional business information, modern business information is fragmented in the information ocean. Feedback information cannot be expressed centrally and intuitively, and the information comes from various sources, so its authenticity and effectiveness cannot be guaranteed. At the same time, due to the complexity of the Chinese system, business intelligence collection is often easy to miss or Misjudgment occurred. Therefore, the process of digging out the important informat...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/35G06F17/27
CPCG06F40/216G06F40/289
Inventor 祝守宇张辉熊楗洲刘勇王开业樊妍睿马波涛朱芝濡
Owner 成都航天科工大数据研究院有限公司
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