Understanding the dynamic changes in consumer responses after a product launch is essential for effective customer relationship management. While prior studies explored online consumer feedback, few have systematically examined the temporal evolution of consumer emotions and topical focus in product reviews. This study tracks sentiment and topical shifts in consumer reviews of newly launched computer-related devices, using natural language processing on comments from 100 product-review videos. Sentiment peaked within two days, declined steadily through day 14, and stabilized after a minor rebound. Meanwhile, discussion topics shifted from initial enthusiasm to problem-solving and critical evaluation. These emotional and topical transitions were further interpreted through the lens of Expectancy-Disconfirmation Theory (EDT), revealing how evolving consumer expectations shape post-launch sentiment. By integrating sentiment dynamics with topic evolution, the study provides a structured framework for tracking post-launch behavior and contributes to both theoretical understanding and brand management practices.
목차
Abstract Introduction Literature Review Importance of Online Consumer Feedback Consumer Feedback Research and Its Limitations Theoretical Perspective: Expectancy-Disconfirmation Theory Importance of Capturing Temporal Dynamics in Consumer Feedback Methodology Data Collection and Preprocessing Temporal Analysis of Consumer Feedback Research Validity and Reliability Result Sentiment Trends Across Post-Launch Periods Topic Evolution Across Post-Launch Periods Conclusion Theoretical Implications Practical Implications Limitations and Future Research References