Examining Feedback of Apple Watch Users in Korea Using Textmining Analysis

摘要

The purpose of this study was to examine the feedback of Apple Watch users in Korea. Data were crawled from social media and were analyzed using community detection and semantic network analysis with R programming. Community detection identified device and after-sales service, application, and activity tracking as major issues. Semantic network analysis revealed twelve categories of positive feedback and nine categories of negative feedback. This study provides theoretical and managerial implications to enhance consumer satisfaction.