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SPAM FILTERING MODEL LEARNING METHOD FOR FILTERING SHORT SPAM MESSAGE, METHOD AND APPARATUS FOR FILTERING SHORT SPAM MESSAGE USING THE SAME
SPAM FILTERING MODEL LEARNING METHOD FOR FILTERING SHORT SPAM MESSAGE, METHOD AND APPARATUS FOR FILTERING SHORT SPAM MESSAGE USING THE SAME
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机译：用于过滤短垃圾邮件的垃圾邮件过滤模型学习方法，使用该方法过滤短垃圾邮件的方法和装置
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摘要
The invention and SMS spam filtering model training method using the same spam message filtering for spam filtering of SMS messages It relates to a method and spam short message filtering unit. Spam filtering model learning process according to the invention (a) a plurality of spam messages, and a plurality of non-spam learning corpus which is a step input is classified as a message; (B) extracting the stylistic qualities of qualities based on vocabulary and language represented a form based on the information from the learning corpus; (C) a step of selecting a plurality of training qualities based on the information gain of the extracted vocabulary qualities and qualities of the extracted style (Information gain value); (D) characterized by applying a statistical classification model based on the plurality of training quality by including the step of creating a spam filtering model. In this way, as well as the contents of a short message, such as SMS messages, whether the content is created in any way, or any language that an expression is created to reflect the form, to significantly reduce the error of classifying a non-spam messages to a spam message can.
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