Interview with Chien Lu: analyzing text documents with sophisticated covariates

Chien Lu received a runner up award for best student paper at ACML 2021. In this interview, he tells us about the implications of this research, the methodology, and plans for future work. Our paper is entitled "Cross-structural factor-topic model: document analysis with sophisticated covariates." This paper proposes a novel topic model to analyze text documents with sophisticated covariates. Text data are usually accompanied by various numerical covariates in many real-world situations.