Method and system for carrying out sentiment classification on Chinese comment text on basis of ensemble learning

The invention relates to the field of the mode identification, and discloses a method for carrying out sentiment classification on a Chinese comment text on the basis of the ensemble learning and a system on the basis of the method. The method comprises the following steps of: a, acquiring the Chinese comment text from a webpage and carrying out preprocessing on the Chinese comment text; b, sequentially training a multi-classifier system in parallel; c, classifying the comment text to be classified by a base classifier and converting a classification output into an intuitionistic fuzzy number; and d, combining a weight and a guide variable of the base classifier, fusing the sentiment tendency of the comment text to be classified and making a classification decision. The method and the system have the following advantages that the training and classifying speed is ultrahigh; a sequence learning strategy is adopted, so that newly developed vocabularies can be found conveniently and the requirement on a corpus can be lowered; and the classification accuracy is improved by the ensemble learning, and thus, the system on the basis of the method can support the management or purchase decision more satisfactorily.