Chapter 4 Case study of Tmall.com and Taobao.com4.1 Text information functionality E-commerceIn this chapter, I present my own research on how to evaluate data mining on customer reviews and use a holistic approach to calculate product decision rules. The product I choose is the cell phone. The product I chose is the Samsung Galaxy Note III (三星) from taobao.com and tmall.com. With a price of 3,000 to 4,000 Rmb and take a review from 20 different sellers. This phone itself is currently available in huge numbers in the Chinese and global market. First, I select a Samsung Galaxy Note III seller from tmall.com and taobao.com (B2C). After that, on the tmall.com and taobao.com sellers' page, I take into account some customers' opinions about the Samsung Galaxy Note III. According to customer reviews from tmall.com and taobao.com, 20 sellers have recovered. The example of customer reviews is like the example above: Ex4.1 display customer reviews of taobao.comEx 4.2 display customer reviews of tmall.com4.2 Analysis procedureThe review data customers of taobao.com and tmall.com are taken. From 20 sellers collected, we collect review data mining from some customers. Separate the noun and adjective from the customer review. One by one is divided into two arrays. After separating the noun and the adjective, I survey 20 people to find the synonym or similarity. Due to the similarity, I can eliminate some of the criteria from 26 criteria to 18 categories. It can proceed to the next stage of mining based on a rough set. .... middle of paper ......omers review of taobao.com and tmall.com, I give a rating to each category (table 4.1). After evaluating it one by one using the algebraic formula, he produced Table 4.4 and Table 4.5. In the second experiment, we use the 4emkA2 software by entering the experiment data (Table 4.1). The result is presented in Figure 4.4. Using the software is to determine the outcome of the decision. After using the software, 11 decision rules are generated (Figure 4.5). Finally, in the final process of 4emka2 software, it turns out that Figure 4.6 is the result of reclassification for customer analysis. Future research is needed to compare the classification capabilities of this method in various situations with other case-based classification methods. result how to evaluate customer opinion using DRSA method and decision result of 4emka software2.