Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Video risk classification method, device, electronic equipment and storage medium

A classification method and risk technology, applied in the fields of electrical digital data processing, instrumentation, calculation, etc., can solve the problem of low classification efficiency, and achieve the effects of high classification efficiency, improved accuracy, and increased quantity

Active Publication Date: 2021-01-22
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing technology, the risk classification of videos is obtained through manual labeling, which consumes a lot of manpower and material resources, and the classification efficiency is low

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
  • Video risk classification method, device, electronic equipment and storage medium
  • Video risk classification method, device, electronic equipment and storage medium
  • Video risk classification method, device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0081] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0082] figure 1 is a flowchart of a video risk classification method shown according to an exemplary embodiment, such as figure 1 As shown, the video risk classification method is used in the terminal, including the following steps.

[0083] In step S11, the intentional behavior for the video and the corresponding comment samples are obtained.

[0084] In this embodiment of the application, t...

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 relates to a video risk classification method and device, electronic equipment and a storage medium, and relates to the technical field of data mining. The method comprises the steps: obtaining an intention behavior for a video and a corresponding comment sample; Classifying the corresponding comment samples based on the intention behaviors; Training the original risk comment classification model based on the classified comment samples to obtain a target risk comment classification model, Wherein the target risk comment classification model is used for performing risk classification on target comments of a video; And determining the risk classification of the target video based on the target risk comment classification model. According to the method, the corresponding commentsamples are automatically classified through the intentional behaviors, the video risk classification efficiency is improved, meanwhile, the number of the comment samples can be rapidly increased, then the accuracy of the target risk comment classification model is improved, and the target video risk classification accuracy and efficiency are improved.

Description

technical field [0001] The present disclosure relates to the technical field of data mining, and in particular to a video risk classification method, device, electronic equipment and storage medium. Background technique [0002] With the rapid development of multimedia technology, various videos are constantly emerging on the Internet. However, some videos are not suitable for minors, such as videos with violent and sexual content. For the healthy growth of minors, it is very necessary to establish a good network environment. Obtaining a risk classification of video is fundamental to building a sound cyber environment. In the prior art, the risk classification of videos is obtained through manual labeling, which consumes a lot of manpower and material resources, and the classification efficiency is low. [0003] However, how to efficiently and labor-savingly obtain the risk classification of videos is an urgent technical problem to be solved. Contents of the invention ...

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 Patents(China)
IPC IPC(8): G06F16/732
Inventor 穆冠宇
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com