[Objective] This paper proposes a new method to evaluate business reputation based on e-commerce comments. [Methods] First, we modified the key word extraction and clustering algorithm based on the HNC theory and text mining methods. Then, we extracted the cluster labels and calculated the weight of each cluster of the collected comments. [Results] We established a business reputation dimension system, with cellphone users’ reviews posted on the Jingdong Online Shopping Platform. [Limitations] Some of the word symbols were generated manually due to the incomplete HNC thesaurus, which posed negative effects to larger-scale comments analysis. [Conclusions] The business reputation evaluation system can identify the commodity features that users really care about.
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