鄭翔安

In today's competitive environment, business model innovation has been an important issue. However, in order to design a business model, the first thing you must understand the feature and the idea behind the customer segments. Therefore, understanding the customer segments values that can provide enterprise reference information. However, the traditional method for value evaluation is extremely costly because of time and labor consuming. Therefore, the manner in which to effectively conduct automated value analysis for a large number of objects is an important issue. In recent years, more and more developed social media, has become used to share opinions and views of digital platforms. Perhaps social media can serve the needs of value analysis. Therefore, this study used the world most widely used social media Facebook and a subsidiary of Facebook Instagram as the basis. Developed the methods for value analysis based on the user’s status. In this research, Schwartz value is used as the value. First, find the value tag for each High order value through association rule algorithms. With text mining technology TF-IDF, according to Schwartz value to design the consistency model, relativity model and contiguity model to calculate the characteristic value of the corresponding user status values of the value tag. Finally, designing two analysis methods: (1) Based on the characteristic value; (2) Based on the distinguishing characteristic value. The results can be found method two is better than method one. In the analysis of Self-Transcendence and Self-Enhancement the accuracy can reach 83.6%, the analysis of Openness to Change and Conservation the accuracy can reach 73.7%, the analysis of Quadrant values the accuracy can reach 62.2 %. It is possible to find the value tag and Facebook user's status there is a certain relevance.