Hot degree evaluating method for network topic

The invention provides a hot degree evaluating method for a network topic. The hot degree evaluating method for the network topic comprises the steps that the attribute of the network topic is compared with attributes in a rule, wherein the rule is obtained through training and is used for indicating the corresponding relation between the attribute of the network topic and the hot degree value; the hot degree value of the network topic is obtained according to the comparison result. According to the hot degree evaluating method for the network topic, a value evaluating system is defined, a user can understand the hot degree of the topic conveniently, and comparison of the hot degrees of topics is facilitated; in addition, centralized inconsistency is optimally trained based on the rough set correlation theory, so that the relation between the hot degree values and the attributes is learnt, and a good hot degree evaluating effect is achieved, wherein unlimited attribute values are dispersed within a limited value range, and thus calculation complexity is reduced; in addition, a training set is obtained by combining users with various kinds of background knowledge, in this way, sample data can be more compressive, and the prejudice of individuals is reduced to the maximum extent.