Client: Retail Chain with Multiple Outlets
The Challenge
The client needed a tool to analyze customer sentiments across social media and online reviews to improve brand reputation management.
The Solution
- Built an NLP-based sentiment analysis engine using BERT and spaCy.
- Integrated with Twitter, Facebook, and Google Reviews to fetch real-time customer feedback.
- Developed a dashboard with insights on sentiment trends, customer concerns, and engagement levels.
The Results
- 85% accuracy in sentiment classification.
- Improved response time to negative feedback by 50%.
- Helped the brand optimize marketing strategies, increasing customer engagement by 30%.
