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This project leverages Data Analytics, Machine Learning, and NLP to detect emotional manipulation in social media advertisements. It analyzes ad texts to identify emotional triggers like fear, guilt, and urgency influencing user behavior. Built with Python, Scikit-learn, NLTK, and Pandas, it classifies ads based on manipulation intensity.