Abstract
This paper wants to explore how to use game analysis and machine learning techniques to alleviate the information asymmetry for vendors in the murder mystery game industry. Sentiment analysis and game analysis are proposed to extract attributes and opinions from game introductions and reviews, then to propose strategies for selecting more valuable stories. Despite the abundance of genres and the complexity of gameplay, the data information of text and features can still be utilized to build a model for interactive story and form a standardized decision making process. This paper can provide a strategic basis for Software as a service (SaaS) companies that want to enter the related industry, using natural language processing (NLP) techniques to alleviate information asymmetry between upstream and downstream.
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