The article demonstrates the strengths pf supervised learning approach to capture ideology that is defined more narrowly in the context of a single institution. At the end it also mentions the limitation of the supervised learning approach, that is, t reveals relatively little about the details of the mapping process. Could you elaborate more on how can future work take advantage of supervised learning methods such as kernel regularized least squares to address the limitation of the approach in this paper through improving interpretability of the target function?
The article demonstrates the strengths pf supervised learning approach to capture ideology that is defined more narrowly in the context of a single institution. At the end it also mentions the limitation of the supervised learning approach, that is, t reveals relatively little about the details of the mapping process. Could you elaborate more on how can future work take advantage of supervised learning methods such as kernel regularized least squares to address the limitation of the approach in this paper through improving interpretability of the target function?