Research on the Dynamic Strategy of Social Media Marketing with AI Enablement--Construction of Interaction Mechanism Based on Sentiment Analysis and Real-time Feedback

摘要

With the dynamic change of social media marketing environment, the traditional static push strategy has been difficult to meet the diversified and emotional interaction needs of users.Based on artificial intelligence technology, this paper constructs a dynamic optimization of social media marketing strategy system, combining emotion analysis and real-time feedback mechanism.By collecting the user data of platforms such as Twitter and Weibo, the emotion recognition is carried out by adopting the BERT emotion classification model, and a real-time response system is designed, so that the content dynamic push based on the user emotion change is realized.The empirical analysis shows that the sentiment analysis model has higher classification accuracy, the real-time feedback mechanism significantly shortens the response time, and the dynamic strategy is superior to the traditional model in terms of user stickiness, conversion rate and brand favorable impression.Cross-platform tests with different audiences further verify the universality and application value of this strategy.The research results show that the emotion perception and instant interaction mechanism under AI can effectively drive the optimization of social media marketing effect, and provide a new path and theoretical support for enterprises to achieve precision marketing and emotional resonance.