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Short message classification apparatus and method based on behavior features

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

Active Publication Date: 2016-06-29
深圳市深讯数据科技股份有限公司
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  • 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

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  • Short message classification apparatus and method based on behavior features
  • Short message classification apparatus and method based on behavior features
  • Short message classification apparatus and method based on behavior features

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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...

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Abstract

The invention provides a short message classification apparatus and method based on behavior features. The apparatus comprises an information acquisition part, a statistical part, a determining part, an execution part and a fault tolerance part. The information acquisition part acquires short message data information, the statistical part extracts the information provided by the acquisition part and counting behavior feature information of each short message, the determining part obtains a statistical result of the statistical part and gives a determining result, the execution part classifies the short messages, and the fault tolerance part extracts data information with statistical failure in the statistical part. According to the invention, based on a Hadoop platform, parallel short message classification is realized by use of a MapReduce calculation model, such that the classification efficiency of large-scale short messages is greatly improved. The apparatus and method can also carry out classification of the short messages simultaneously based on behavior features of multiple short messages, and the accuracy of the short message classification is improved.

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

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08G06F17/30G06F9/50
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
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