Video classification method and device

The embodiment of the invention provides a video classification method and device. According to the method, a neural network classification model is built according to the relationship among the semantics and the relationship among the features of the video samples; feature combinations of video files to be classified are obtained; the feature combinations of the neural network classification model and the video files to be classified are adopted for classifying the video files to be classified. The neural network classification model is built according to the relationship among the semantics and the relationship among the features of the video samples, and the relationship among the features and the relationship among the semantics are sufficiently considered, so the video classification accuracy can be improved.