Semeval 2022 Task 4 1 Binary Pcl Detection

SemEval-2022 Task 4-1 (Binary PCL Detection) aims to identify and classify Potential Customer Churn (PCL) signals in text, by analyzing natural language data such as user reviews and social media posts to automatically determine whether a customer is likely to terminate their relationship with a business. The goal of this task is to enhance early warning capabilities for customer churn, optimize customer relationship management strategies, and thereby improve customer satisfaction and loyalty. It has significant application value in business intelligence and market analysis.