Social Media Data Analysis in Film Marketing Strategy Optimization System Research

This paper proposes a movie marketing strategy optimization system based on social media data analysis. The system realizes accurate customization and optimization of movie marketing strategies through the analysis of user scoring sequence and user cluster, combined with de-trend wave analysis. Firstly, this paper collects many users' rating sequences on social media, which reflect users' preferences and evaluations of movies. Then the user cluster analysis system is used to divide users into different groups in order to better understand the needs and preferences of different user groups. Then, detrended wave analysis is used to process the user rating sequence to eliminate the influence of outliers and trends, and extract the key features that reflect the real emotions of users. The algorithm considers the characteristics of user group, historical marketing effect and market environment factors. The effectiveness of the algorithm is verified by model simulation experiments. The experimental results show that the system can significantly improve the pertinence and effect of film marketing strategy, and provide powerful decision support for film marketing.