A video classification method and apparatus. The method comprises: establishing a neural network classification model according to a relationship among features and a relationship among semantics of a video sample (S101); acquiring a feature combination of video files to be classified (S102); and using the neural network classification model and the feature combination of the video files to be classified to classify the video files to be classified (S103). Since a neural network classification model is established according to a relationship among features and a relationship among semantics of a video sample, and the relationship among the features and the relationship among the semantics are fully considered, the accuracy of video classification can be improved.
