Gathering and preprocessing feedback from multiple sources (surveys, reviews, chats).
Applying natural language processing (NLP) for customer feedback analysis.
Sentiment classification, emotion detection and text-mining techniques.

Participants design a full solution: from feedback collection through AI processing to business action.
Review of real-world case studies in loyalty, advocacy, and feedback automation.
Final presentation and certification evaluation.

AI-Driven Customer Feedback and Satisfaction Analysis Training Course in Istanbul

Available Dates