To design an AI system that analyzes user comments, reviews, and social media feedback to understand audience sentiment. The insights guide content creators to optimize media for better engagement, emotional impact, and relevance.
Collect textual data from social media, blogs, and forums.
Clean and preprocess data for natural language processing.
Train sentiment analysis models using supervised and unsupervised learning.
Visualize sentiment trends for different media content types.
Develop an AI recommendation engine for content adjustments.
Test system accuracy using real-time audience feedback.
Build a reporting interface for creators to view analytics.
Suggest content strategies based on sentiment predictions.
Document the methodology, model performance, and implementation challenges.
