AI Automation: NLP-Based Sentiment Analysis for Brand Monitoring

Industry:
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%.
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