This project uses artificial intelligence-based analysis techniques in a context of call center conversations. We create an end-to-end natural language processing pipeline to process real-world call center conversations at a large scale. We analyze the influence of emotions on customer satisfaction. These insights are then finetuned to train machine learning models to predict customer satisfaction at the end of a call.