A short message classification device and method based on behavioral characteristics

A classification method and short message technology, applied in the field of information processing, can solve the problems of low reliability and low work efficiency of short message classification, and achieve the effects of simple and easy-to-understand judgment strategies, convenient development, and enhanced reliability.

Active Publication Date: 2019-08-09
深圳市深讯数据科技股份有限公司
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the problems of low work efficiency and low reliability of short message classification in the prior art when faced with a large number of short message services, the present invention provides a short message classification device and method based on behavioral characteristics

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
  • A short message classification device and method based on behavioral characteristics
  • A short message classification device and method based on behavioral characteristics
  • A short message classification device and method based on behavioral characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0039] Such as Figure 4 As shown, a short message classification device based on behavioral characteristics is characterized in that: it includes an information collection component 701, a statistics component 702, a judgment component 703, an execution component 704 and a fault-tolerant component 705, and the information collection component 701 is connected to the statistics component 702 , the statistical unit 702 is connected to the judging unit 703, the judging unit 703 is connected to the execution unit 704, and the fault-tolerant unit 705 is connected to the statistical unit 702; wherein the fault-tolerant unit 705 is connected to the statistical unit 702 through a bidirectional optica...

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 present invention provides a short message classification device and method based on behavior characteristics, the device includes an information collection component, a statistical component, a judgment component, an execution component and a fault-tolerant component, the information collection component collects short message data information, and the statistical component Extract the information provided by the collecting part, and count the behavior characteristic information of each short message, the judgment part obtains the statistical result of the statistics part, and give the judgment result, the execution part classifies the short messages, and the fault-tolerant part extracts the statistics part Statistics failed data information. The invention is based on the Hadoop platform, utilizes the MapReduce calculation model to parallelize the classification of short messages, thereby greatly improving the classification efficiency of large-scale short messages. The present invention can also classify short messages based on the behavior characteristics of multiple short messages at the same time, thereby improving the accuracy of short message classification.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a short message classification device and method based on behavior characteristics. Background technique [0002] SMS has been widely used as a fast, economical and effective communication method. However, the constant flood of spam SMS has also caused great troubles for users. It is of great social value to develop a technical solution for intelligent short message classification and to establish a reliable, accurate and efficient short message control and classification platform for mobile phone users. [0003] At present, there are generally two ways to classify text messages. From a technical point of view, one is based on keywords, and as long as the sensitive words contained in the text message exceed a certain number, it will be identified as spam; the other is based on the classification of text messages. Machine learning methods are used to automa...

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): H04L29/08G06F16/35G06F9/50
CPCH04L67/1097G06F9/5061G06F16/2471H04W4/14H04L67/1001
Inventor 程军王纯甫李鹏鹏张大雷曹毅
Owner 深圳市深讯数据科技股份有限公司
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