Short message field classification method as well as short message field identification method and apparatus

A technology in the field of short messages and fields, which is applied in text database clustering/classification, special data processing applications, instruments, etc., and can solve problems such as large computing burdens on processors

Active Publication Date: 2016-02-03
XIAOMI INC
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AI Technical Summary

Problems solved by technology

Since the number of semantic templates is very large, if the mobile terminal receives notification short messages, if all the semantic templates are used as candidate templates to match the received short messages, it will be relatively large for the processor of the mobile terminal. computing burden

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  • Short message field classification method as well as short message field identification method and apparatus
  • Short message field classification method as well as short message field identification method and apparatus
  • Short message field classification method as well as short message field identification method and apparatus

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Embodiment Construction

[0093] 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.

[0094] figure 1 It is a flow chart of a method for classifying short messages according to an exemplary embodiment; the method for classifying short messages can be applied to a cloud server, and the cloud server can collect short messages uploaded by users through mobile terminals, such as figure 1 As shown, the method for classifying short messages includes the following steps S101-S104:

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Abstract

The disclosure relates to a short message field classification method as well as a short message field identification method and apparatus. The short message field classification method comprises: determining a short message template set corresponding to each short message field in all collected short message fields; determining a training data set of a classifier according to the short message template set corresponding to each short message field in all the short message fields; determining a classifier training frequency corresponding to each short message template according to a frequency corresponding to each short message template in the short message template set corresponding to each short message field, subjected to statistics within a set time period; and training the classifier through the training data set and the classifier training frequency corresponding to each short message template in the short message template set. According to the technical scheme, the problem of computing burden caused by matching received short messages by taking all semantic templates as candidate templates in related technologies can be avoided, and a relatively good bedding is made for deep understanding of short message content.

Description

technical field [0001] The present disclosure relates to the field of text classification, and in particular to a method for classifying the field of short messages, a method and a device for identifying the field of short messages. Background technique [0002] Because the text content of the notification text message is short, but the knowledge points are relatively dense. For example, the flight order text message includes: flight number, departure city, arrival city, departure airport, arrival airport, departure time, arrival time, seat, airline For information such as companies and ticket numbers, for such dense entity extraction, in order to ensure a high accuracy rate, related technologies usually use a method based on lexical-syntactic patterns, and use semantic templates in the expression of syntactic patterns. Since the number of semantic templates is very large, if the mobile terminal receives notification short messages, if all the semantic templates are used as ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/35
Inventor 汪平仄张涛陈志军
Owner XIAOMI INC
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