The invention discloses a method for identifying a Web named entity based on a statistical model. The method comprises the following steps of: representing multiple characteristics of the Web named entity with structure and text characteristics; combining a statistical method with a rule method and adopting an improved MR-GHMM (MR-Generalized Hidden Markov Model) to increase the training efficiency; marking the entity with the improved GHMM, and marking each named entity to realize entity identification; and processing a Web complex named entity identifying process on two layers and performing complex nested entity identification by taking a marking result of a first layer as the input of second layer processing. Compared with an original identifying algorithm, the method has the advantages that: the identifying accuracy of an algorithm used in the method is increased, and the time complexity of model training is lowered greatly. By representing multiple characteristics of the Web named entity and modifying entity characteristics in different fields, named entities in different fields on Web can be identified.