We are pleased to announce that the 5th seminar of WINPEC (Waseda Institute of Political Economy) Causal Inference and Data Science Research Group is scheduled on November 15 (Friday). We invite Dr. Tatsuro Kawamoto (Researcher, National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center) to present his work related to computational social science. We look forward to your participation. Thank you.
November 15 (Fri) 16:30-18:00
Room 605, the 3rd Building, Waseda Campus
Tatsuro Kawamoto (Researcher, National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center/ 川本達郎、産業技術総合研究所 人工知能研究センター 研究員)
Democratic Classification of Free-Format Survey Responses with a Network-Based Framework
Social surveys have been widely used as a method of obtaining public opinion. Sometimes, it is more ideal to collect opinions by presenting questions in free-response formats than in multiple-choice formats. Despite their advantages, free-response questions are rarely used in practice because they usually require manual analysis. Therefore, classification of free-format texts can present a formidable task in large-scale surveys and can be influenced by the interpretation of analysts. In this study, we propose a network-based survey framework in which responses are automatically classified in a statistically principled manner. This can be achieved because, in addition to the text, similarities among responses are also assessed by each respondent. We demonstrate our approach using a poll on the 2016 US presidential election and a survey taken by graduates of a particular university. The proposed approach helps analysts interpret the underlying semantics of responses in large-scale surveys.
Prof. Yunkyu SOHN, Prof. Yuriko Takahashi
◆Waseda Institute of Political Economy