Integrating Content Analysis and LDA Thematic Modeling to Analyze the Presentation of Youth Culture in Urban Cinema

Abstract Taking urban cinema as the research object, this study creatively integrates the content analysis method and LDA thematic model to construct a multidimensional analysis framework, aiming to explain the image-based expression mechanism of youth culture. The dimensionality reduction of textual features is realized through vector space modeling, and the co-occurrence frequency of youth culture elements is quantified by combining with n-meta-language modeling. The LDA thematic feature model is proposed to integrate text analysis, and the LDA-Kmeans method is used for thematic clustering to identify the core themes of youth lying and involutional “subculture” identity construction weights. In the model construction, the coding layer that integrates the theme features is innovatively designed, and the classification layer enhances the semantic information processing by converting logical vectors into probabilities using the Softmax function to increase the accuracy, recall and F1 value of this paper’s model on the dataset to more than 95%. In addition, the results of the case study show that the youth culture from the content of the movie of lying down mainly presents four themes such as the reasons for lying down and inner emotions of the youth. The perspective of involution presents four themes such as seriousness of involution and educational involution from the perspective of young people. The discourse expression of lie flat and introspection reflects the current situation of contemporary youth’s life and inner feelings. Finally, this paper analyzes the causes of the popularity of lie flat and introspection as well as the subcultural representations of youth.