Develop an AI-based platform that analyzes social media mentions, customer reviews, and online conversations to assess brand sentiment. Students will explore NLP, AI, and data analytics to provide actionable insights for brand managers to improve reputation and customer engagement.
Collect brand-related data from social media platforms, forums, and review sites.
Preprocess and clean text data for analysis.
Implement sentiment analysis using NLP libraries such as NLTK, spaCy, or TextBlob.
Train models to classify positive, negative, and neutral mentions accurately.
Visualize sentiment trends over time using dashboards and graphs.
Generate insights for brand strategy, marketing, and customer engagement improvements.
Compare AI-driven sentiment analysis with manual evaluation for accuracy.
Prepare documentation including methodology, datasets, analysis results, and future recommendations.
