Method for identifying false Chinese customer reviews

A recognition method and false technology, applied in the field of Chinese false customer review recognition, can solve the problem of low recognition rate and achieve the effect of improving the recognition rate

Active Publication Date: 2015-08-26
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for identifying false customer reviews in Chinese, which overcomes the problem of low recognition rate in the prior art, so as to quickly and accurately identify false customer reviews on domestic e-commerce websites

Method used

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  • Method for identifying false Chinese customer reviews
  • Method for identifying false Chinese customer reviews
  • Method for identifying false Chinese customer reviews

Examples

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Embodiment 2

[0074] Example 2: Large sample calculation example:

[0075] Calculate the 4,000 comments of a Huawei mobile phone, get the word frequency statistics and sentiment score of each comment, and calculate its word frequency outlier and emotional outlier as two features. The third feature is whether to use template comments, that is, whether there are comments with the same part-of-speech sentence structure. If there is, this feature is 1, and if not, it is 0. The fourth feature is the number of times a comment is repeatedly posted by the same user.

[0076] At the same time, the information of users of each sentence pattern template and the information of users of 150 invalid comments (without valid collocation) were collected.

[0077] The inventor thinks that group comments often use the same template with each other, and make multiple comments on the product. If in different product reviews, compare the number of times the template comment publisher and the user have posted co...

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Abstract

The invention relates to a method for identifying false Chinese customer reviews. The method comprises the following steps: a), reading in review data one by one; b) performing word segmentation on the reviews to obtain speech sequences, grammatical compositions and structural characteristics of sentences; c) performing at least two kinds of characteristic extraction, namely, word distribution outlier degree characteristic extraction and emotion distribution outlier degree characteristic extraction, on one review simultaneously; d) marking reviews of which outlier degrees exceed a set threshold as false reviews. The method has the advantages that invalid and irrelevant reviews can be well identified as the emotion analysis of customer review contents is additionally carried out, and the emotion outlier degrees of the reviews are calculated, so that the identification rate of the false Chinese customer reviews is increased.

Description

technical field [0001] The invention relates to a method for identifying false customer comments in Chinese, which can quickly and accurately identify false customer comments on domestic e-commerce websites. technical background [0002] With the rapid development of e-commerce, the automatic identification of false customer reviews is becoming more and more important. Customer reviews are a key part of solving the mutual trust between the two parties in online transactions and making up for the lack of physical experience of products. It can be said that the value of integrity is more prominent in online transactions. But if the reviews themselves are false, the foundation of the transaction will be affected; if such false reviews are allowed to proliferate, then it will damage not only the two parties in the transaction, but the entire e-commerce industry. [0003] But there is no automatic identification system for Chinese fake customer reviews applied to e-commerce plat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
Inventor 李秀闫欣伟杜佳陈胜
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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