Develop a software application that analyzes social media posts, reviews, and comments to identify user sentiment, helping businesses and individuals understand public opinion.
Collect data from social media APIs or web scraping.
Preprocess textual data with NLP techniques like tokenization and lemmatization.
Apply machine learning models for sentiment classification (positive, negative, neutral).
Visualize results using dashboards and trend graphs.
Implement search and filter options for analyzing specific topics.
Test AI model accuracy using precision, recall, and F1-score.
Build a user-friendly interface for feedback analysis.
Integrate alerts for critical sentiment changes.
Document system design, NLP workflow, and AI evaluation result
