Twitter Data Mining for the Social Awareness of Emerging Technologies

With the rapid development of Internet and information technology, social media has been growing fast. A large amount of social awareness data which represent the public's sensing and response to emerging technologies contained in social media, such as Twitter. By analyzing and mining the social awareness data to early detect the future trend of emerging technologies and identify the commercial potential of emerging technologies are crucial for government research and development strategic planning, social investment and enterprises practices. For this reason, this paper proposes a method to analyze the social awareness of emerging technologies based on Twitter data mining. Firstly, the natural language processing module in Thomson Data Analyzer is applied to extract the keywords from the tweets. Secondly, the social awareness information is analyzed by applying text mining and social network analysis, then, the social awareness of emerging technologies is mined by using time-slicing-based awareness information map. Finally, the perovskite solar cells technology is as a case study to analyze the effectiveness and feasibility of the method.