Research on Kano model based on online comment data mining

The opinion mining and the sentiment analysis of the network comment are the key points of the text analysis. By excavating the comment information of the online products, the real demand of the customers can be obtained, however it does not reflect the differences among the requirements. In this paper, we come up with the ideal to combine the data mining technology with the Kano model, first we discover the feature theme of the product by establishing the comment mining model, and analysis the sentiment of the comment through machine learning to acquire the parameters of Kano model such as the initial importance. Finally obtain the real demand of multiple customers as well as the weight of demand. Although we take research on mobile phone products on the net market to proved its feasibility and effectiveness.