sonalika verma
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AI sentiment analysis works by utilizing natural language processing (NLP) algorithms to analyze text data, identifying positive, negative, or neutral sentiments. It involves training models on labeled datasets to recognize patterns and understand context, slang, and emotional nuances. Applications of AI sentiment analysis are vast, including monitoring brand reputation, analyzing customer feedback, and guiding product development. Businesses can use these insights to improve their offerings, respond proactively to customer concerns, and create targeted marketing campaigns that resonate with their audience.