Classification device based on machine learning knowledge

A classification device and machine learning technology, applied in the field of artificial intelligence, can solve the problems of low classification efficiency and accuracy, and achieve the effect of facilitating information recommendation, filtering information, and improving accuracy

Inactive Publication Date: 2019-08-09
重庆南华中天信息技术有限公司
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a classification device based on machine learning knowledge, which is used to solve the problem of human participation, poor classification efficiency and accuracy when machines classify learning knowledge in the prior art. high problem

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
  • Classification device based on machine learning knowledge

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The implementation of the present application will be described by specific specific examples below, and those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification.

[0016] In the following description, reference is made to the accompanying drawings, which illustrate several embodiments of the application. It is to be understood that other embodiments may be utilized, and that mechanical, structural, electrical, and operational changes may be made without departing from the spirit and scope of the present disclosure. The following detailed description should not be considered as limiting, And the scope of the embodiments of the present application is defined only by the claims of the issued patent. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application. Spatially relative terms such as "upper", "lowe...

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 provides a classification device based on machine learning knowledge, and the device comprises a classification rule module used for collecting a classification behavior of a user and deriving a classification reasoning rule; an acquisition module used for acquiring knowledge to be classified; an extraction module used for extracting keyword words in the knowledge content according to a word segmentation method, wherein keyword words comprise keywords and word groups; a calculation processing module used for calculating the occurrence frequency and position of the keyword words and a detection output module used for detecting the keyword words meeting the preset frequency and the preset positions and outputting the keyword words as classification results. Keyword words are extracted in the knowledge contents by adopting a word segmentation method. The nearest neighbor set is established according to the classification behaviors of the user. Comprehensive analysis is carried out in combination with keyword weighting, transformation, mixture, characteristics and meta-level. Keywords of the optimal combination are obtained, accuracy of label classification of knowledge is improved, the retrieval accuracy is improved, and information recommendation and information filtering are facilitated.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a classification device based on machine learning knowledge. Background technique [0002] The technique of grouping knowledge into pre-assigned categories dates back to the 1960s. However, in the last 10 years, due to the massive data brought by the digitization of text knowledge, we have to classify this knowledge. Therefore, the automatic classification of knowledge has been widely concerned and developed rapidly. [0003] At present, in order to solve the knowledge classification, there are mainly the following two methods: one is the method based on knowledge engineering, which defines a large number of inference rules for each category through professionals, and if the knowledge can satisfy these inference rules, it can be determined that it belongs to the category. category; the other is the knowledge classification based on the knowledge base, that is, f...

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): G06F16/35G06F17/27
CPCG06F40/289G06F16/353G06F16/355
Inventor 冉露吴晟昊吕宏轮刘旭赵瑞娜余黎阳
Owner 重庆南华中天信息技术有限公司
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