This research explores how user-generated content (UGC) influences the performance of studios. Our dataset included both structured and unstructured UGC, analyzed through a hybrid of statistical techniques and machine learning algorithms. The findings revealed a positive relationship between UGC and both box office revenues and stock market performance. Additionally, classical machine learning methods demonstrated exceptional capabilities in accurately classifying the data. The insights from this study offer valuable marketing strategies for studio marketing managers and studio executives in leveraging social networks effectively.

中文翻译：

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分析用户生成内容对工作室性能的影响：综合方法

本研究探讨了用户生成内容 (UGC) 如何影响工作室的绩效。我们的数据集包括结构化和非结构化 UGC，通过统计技术和机器学习算法的混合进行分析。研究结果显示，UGC 与票房收入和股市表现之间存在正相关关系。此外，经典的机器学习方法在准确分类数据方面表现出了卓越的能力。这项研究的见解为工作室营销经理和工作室高管有效利用社交网络提供了有价值的营销策略。