Relation-based spam comment detection method

A technology of spam comment and detection method, applied in the field of relation-based spam comment detection

Inactive Publication Date: 2013-04-03
NANJING UNIV OF POSTS & TELECOMM
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The disadvantage of the above methods is that they only study the text or scoring features of spam comments, which has limitations.

Method used

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  • Relation-based spam comment detection method

Examples

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Embodiment Construction

[0099] Based on the relational spam comment detection method, Eclipse is used as the development tool, and MATLAB is combined with yaahp analytic hierarchy process software for data analysis. The detailed steps are as follows, see figure 1 .

[0100] 1, a kind of spam comment detection method based on relation, it is characterized in that the method is mainly divided into the following steps:

[0101] Step 1) Build a review honesty model: construct a model from three aspects: the score given by the review, the text similarity between the review and other reviews, and the time when the review was published, such as image 3 see.

[0102] Step 1.1) Calculate the average score and the earliest comment time based on the information of all comments;

[0103] Step 1.2) According to the score value of the review, calculate the difference between the score value and the average value of the score:

[0104] D ( p ) ...

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Abstract

The invention relates to a relation-based spam comment detection method, which is based on the relation characteristic of critics of online shopping, comments and shop owners. The method raises concepts of the credibility of critics, the integrity of comments and the credibility of shop owners and leads to the mutual relation of the three concepts as follows: the higher the integrity of comments written by the critics is, the higher the credibility of the critics is; the more the honest comments of the shop owners from the credible critics is, the higher the integrity of the shop owners is; and the more the number of comments supported by other honest comments is, the higher the integrity of the comments is. The iteration relation is raised for the first time, and the iteration relation is applied to the actual detection work. The relation characteristic is utilized to establish a model, and the model is combined with models obtained by other characteristics of the three concepts, so that an improved model used for spam comment detection is obtained.

Description

technical field [0001] The invention relates to a method for detecting spam comments based on relationships, which mainly analyzes the characteristics of the relationship between reviewers, comments and stores, and proposes a model based on this relationship. Combined with the model obtained by the features, the purpose of detecting spam comments is achieved. It mainly solves the problems of the singleness and limitation of the model proposed by the current technology for spam comment detection, and belongs to the field of machine learning and data mining. Background technique [0002] Online shopping reviews provide valuable information for customers to compare product quality, store service and many other aspects. But now there are comment spammers, whose purpose is to mislead normal customers about products or stores by posting false or unfair reviews. For example, a professional negative reviewer, as the name suggests, is a person who lives by giving negative reviews t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06Q30/00
Inventor 张卫丰王云周国强张迎周王子元周国富钱小燕许碧欢陆柳敏
Owner NANJING UNIV OF POSTS & TELECOMM
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