摘要
In recent years we have witnessed that e-commerce has become an internationalphenomenon in which sellers often need to do business with buyers who usedifferent languages. As customers, including international customers, often makepurchase decisions based on online reviews, comments and recommendationsmade by other customers, understanding the sentiment of online commentsbecomes necessary for sellers who want to provide customized recommendationsto users for a higher level of customer satisfaction. To this end, we have recentlydeveloped a bilingual model to handle both English and Chinese user commentsposted on e-commerce websites. This paper addresses several key issues includingChinese segmentation, data mining models and systematic design. An experimentin mining user satisfaction sentiment with English and Chinese online usercomments illustrates the value of our developed bilingual model.
