Disturbance information judgment method and system based on NER and NLU

A technology of information judgment and text information, applied in the field of information recognition, can solve problems such as inability to achieve low-cost updates, inability to achieve rapid response, time-consuming and energy-consuming, etc., and achieve small errors, low compatibility characteristics, and accurate recognition rates. Effect

Active Publication Date: 2021-04-13
浙江百应科技有限公司
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of this application provides a method and system for judging harassment information based on NER and NLU, which solves the huge time-consuming and energy-consuming problem of the prior art, which cannot be done The technical problems of rapid response, lack of pertinence, and inability to achieve low-cost updates to achieve faster response to information recognition, more accurate recognition rates and smaller errors, and lower-cost technical effects of compatible features

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Disturbance information judgment method and system based on NER and NLU
  • Disturbance information judgment method and system based on NER and NLU
  • Disturbance information judgment method and system based on NER and NLU

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] Such as figure 1 As shown, the embodiment of the present application provides a method for judging harassment information based on NER and NLU, wherein the method includes:

[0025] Step S100: Obtain first text information;

[0026] Specifically, the first text information is the source text information that needs to be judged, including information, email, instant chat software (IM), etc. If the source information is voice, it will be converted into text through audio recognition and text conversion technology. information.

[0027] Step S200: Perform natural language understanding processing on the first text information to obtain natural language understanding intent list information;

[0028] Specifically, the natural language understanding (NLU, Natural Language Understanding) refers to a mapping from natural language to the inside of the machine, which means that the machine can perform certain language functions expected by humans, and the natural language unde...

Embodiment 2

[0077] Based on the same inventive concept as the method for judging harassment information based on NER and NLU in the foregoing embodiments, the present invention also provides a judging system for harassment information based on NER and NLU, such as figure 2 As shown, the system includes:

[0078] A first obtaining unit 11, the first obtaining unit 11 is configured to obtain first text information;

[0079] A second obtaining unit 12, the second obtaining unit 12 is configured to perform natural language understanding processing on the first text information, and obtain natural language understanding intent list information;

[0080] A third obtaining unit 13, the third obtaining unit 13 is configured to perform named entity recognition on the first text information, and obtain word slot content information;

[0081] A fourth obtaining unit 14, the fourth obtaining unit 14 is configured to obtain the first result information according to the natural language comprehension...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a disturbance information judgment method and system based on NER and NLU, and the method comprises the steps: obtaining first text information; performing natural language understanding processing on the first text information to obtain natural language understanding intention list information; performing named entity identification on the first text information to obtain word slot content information; obtaining first result information according to the natural language understanding intention list information and/or the word slot content information; judging whether the first result information contains harassment information or not; if the first result information contains harassment information, obtaining first mark information; and marking the first text information as harassment information according to the first marking information. The technical problems that in the prior art, time and energy are greatly consumed, quick response cannot be achieved, pertinence is not high, and low-cost updating cannot be achieved are solved.

Description

technical field [0001] The present invention relates to the field of information identification, in particular to a method and system for judging harassment information based on NER and NLU. Background technique [0002] With the rapid development of the information industry, the producers of harassment information are not only humans, but also robots, which means that higher requirements are put forward for the harassment information identification scheme, including faster response speed and more accurate identification rate , Smaller errors, more powerful compatibility features, lower-cost thesaurus update capabilities, etc. [0003] However, in the process of realizing the technical solution of the invention in the embodiment of the present application, the inventor of the present application found that the above-mentioned technology has at least the following technical problems: [0004] The existing technology consumes a lot of time and energy, cannot respond quickly, ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/205G06F40/295G06F16/35
CPCG06F40/205G06F40/295G06F16/355Y02D10/00
Inventor 张超
Owner 浙江百应科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap