How to promote crowd-funding results successfully are crucial to crowdfunding platforms and crowdfunding projects. The results of crowd-funding projects are determined by investors’ subjective behavior, which is triggered by some certain motivations. However, for different investors, the motivation toward a speculative behavior may be different. Thus, it is very necessary to explore and analyze the composition of the motivations behind each investor’s decision. In this paper, we identify different motivation modes mainly influenced by the project description, which will be beneficial to identify the investment intention of each investor. Based on the self-determination theory, we first create the corpus targeting different motives by means of the text mining method. Then, we classify the project description and project investment options. Last, we conduct an econometric model to examine the effect of investor’s motives on crowd-funding results based on the real dataset from Indiegogo Platform.