Despite the increasing importance of using text mining and social media technologies in policy-making, an in-depth literature review on this area has yet to be conducted. In this paper, we develop a conceptual framework and review 55 articles related to the development of text mining applications for policy-making. The conceptual framework provides a concise illustration of the stages of policy-making involved in the applications, how applications support policy decision making and alleviate the bounded rationality of decision makers and who benefits from the applications.The literature review aims to facilitate knowledge accumulation concerning text mining applications for policy-making and serves as a guide for future research.