The present application relates to the field of artificial intelligence. Disclosed are an intention identification method, apparatus and device (300) based on an attention mechanism, and a storage medium, which are used for improving the accuracy of multi-modal intention identification for information needing to be inferred. The method comprises: acquiring text intention features of text information and image intention features of image information (101); respectively calculating text attention values and image attention values (102); respectively obtaining a text weighted feature matrix and an image weighted feature matrix according to the text attention values and the text intention features, and the image attention values and the image intention features (103); generating attention fusion intention features and gating mechanism fusion intention features according to the text intention features, the image intention features, the text weighted feature matrix, the image weighted feature matrix and a preset gating mechanism (104); combining the attention fusion intention features and the gating mechanism fusion intention features to obtain a target intention feature (105); and carrying out intention classification on the target intention feature to obtain a corresponding target intention (106).
INTENTION IDENTIFICATION METHOD, APPARATUS AND DEVICE BASED ON ATTENTION MECHANISM, AND STORAGE MEDIUM