A Study on the Strategy of SWOT Extraction in the Metavers Platform Review Data: Using NLP Techniques

Abstract

The Metaverse application industry has recently emerged as an important industry, and user review data has become a rich resource for business opportunities. This study proposes a framework that addresses the major shortcomings of traditional SWOT analysis through NLP based on review data from Metaverse applications. We collect review data on ZEPETO and ROBLOX from the Google Play Store and extract the aspects of each review data and perform sentiment analysis through natural language processing. Based on ZEPETO, we conduct research on the strategic positioning of Metaverse applications. The framework presented in this study presents ways to establish business strategic tools using secondary data and provides implications for important factors in building a Metaverse application environment. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.