1. A method for image classification, comprising:determining an image feature vector of an image based on a convolutional neural network, wherein the image comprises textual information;
determining a text feature vector based on the textual information and an embedded network;
determining an image-text feature vector by joining the image feature vector with the text feature vector;
determining a first classification result vector corresponding to the image feature vector, a second classification result vector corresponding to the text feature vector, and a third classification result vector corresponding to the image-text feature vector, based on a deep neural network;
determining a target result vector by weighting and summing the first classification result vector, the second classification result vector and the third classification result vector; and
determining a category of the image based on the target result vector.