Research on Emotion Classification of Movie Background Music Based on Improved Clustering Algorithm

Abstract

Movie background music plays a positive role in enhancing emotion, drama and movie atmosphere. If the background music can be automatically classified based on emotion, it will help to improve the analysis efficiency and quality of emotional content of movies. In view of this feature, researchers put forward a musical emotion classifier based on the emotional characteristics of film background music, and optimize the emotion of background music. Annotations. In this paper, based on the understanding of the current research situation of film media background music, after accurately extracting music features, the PLSA as the core of film background music emotion classification model is proposed, and the actual design of empirical analysis, the final results show that this method can obtain high-precision classification results.