Applying Machine Learning Approaches to Problems in Social Science

In this video Alice Oh from Harvard CRCS and the Korea Advanced Institute of Science and Technology presents: Insights and challenges of applying machine learning approaches to problems in social science.

In this talk, I will share the experiences and challenges of my research group in applying probabilistic topic models (e.g., LDA,HDP) and other machine learning algorithms to problems in social science. Specifically, I will discuss three papers on the topics of emotion cycles, self-disclosure behavior, and agenda-setting theory. These topics span a wide range of social science research, so I do not claim to go deeply into the problem domains but rather offer rudimentary explorations into the realm of social science.