First, to predict consumer sentiment polarity based on Chinese online review of catering industry, this study establishes Lasso-Logistic and Lasso-PCA models. By comparison, Lasso-PCA model is more accurate by integrating more information of variables. However, Lasso-PCA model has weaker explanatory power especially in the scenario of high dimensional data. Second, using the variable selection results of Lasso-Logistic model, we find that specialties, service attitude, and the external environment, as well as "a fly in the ointment" are the significant factors affecting the consumer's emotional polarity directly.