Relation-based spam comment detection method

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.