The invention discloses a progressive viewpoint extraction method and system for hot topics. The method comprises the steps: providing priori knowledge; constructing a seed event structure diagram based on priori knowledge, wherein the diagram comprises viewpoint information nodes and edges representing the relationship between viewpoint elements; carrying out training and prediction of a viewpoint extraction model through combining the event structure diagram and data of the current stage, and giving a prediction result of the data of the current stage after the training is finished; removing viewpoints already existing in the event structure diagram, and submitting new viewpoints to experts for confirmation; screening confirmation results returned by the experts, removing unqualified viewpoints, and adding qualified viewpoints into the event structure diagram; and returning to the viewpoint extraction step again, and repeating the steps until the viewpoint extraction model achieves convergence. According to the method, historical information is used for new text viewpoint extraction under the same topic, the influence of an unbalanced hot topic data set on the neural model can be effectively relieved, and high-quality viewpoint information can be obtained under a small amount of labeled data.
Progressive viewpoint extraction method and system for hot topics