In recent years there has been an increase in the practice of product placement. This paper reports the findings of an exploratory quantitative study of the attitudes of Chinese consumers towards product placement. The aim is to provide some insights into how similar, or different, these attitudes are to those of American consumers. Country differences were found to exist between the US and the People's Republic of China (PRC) in terms of Chinese consumers generally being less accepting of product placement than American consumers, while individual differences were not found to have much of an impact given the major differences in cultural values between the US and the PRC. Also, more ethically-charged products generated greater concerns among both US and Chinese consumers than less ethically-charged products.

User generated content on web serves as a valuable source of information for both companies and consumers. Scholars have analyzed emotional polarity of the reviews to study customer satisfaction, but the dominant factors are not explained accurately by numerical ratings solo and the simplistic-categories of emotional polarity. This paper investigates the service attributes and detailed emotions effecting consumer satisfaction using deep learning, to explore how consumption satisfaction is influenced by emotions and what factors arouse the certain emotion. First, more than 120,000 online hotel reviews related were retrieved. Second, a novel and dataset-based seven-dimensional evaluation system, applying the BERT model was proposed. This solves the problem of polysemous words, and can more accurately reflect the service attributes consumers really care about. In particular, the analysis reveals that the overall consumer satisfaction is affected by key service attributes including service, cleanliness, equipment, price, location, internet and catering, among which the cleanliness attributes has the greatest impact. Lastly, the latest Kismet emotional recognition method was adopted to effectively identify the emotional polarity and 11 detailed emotions. The regression relationship between emotion and overall satisfaction was also verified, which enabled a more accurate analysis for consumption emotions and satisfaction.