Which machine learning technique is most commonly used by major film studios to predict box office performance based on social media sentiment?

The film industry increasingly relies on machine learning to predict box office performance before a movie is even released. Studios analyze countless data points to forecast financial outcomes, guide marketing strategies, and even influence creative decisions. This poll tests your knowledge about how AI and predictive analytics are transforming the business side of filmmaking.

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Natural Language Processing (NLP) with sentiment analysis
Convolutional Neural Networks (CNN) analyzing poster designs
Reinforcement Learning systems simulating audience reactions
Random Forest algorithms analyzing only production budget data