Thanks for your presentation! In the paper you mentioned that some of the potentially useful information discarded can be retained via feature extraction. Can you explain what kind of information can be retained using this method and can this method be applied to other studies? Also, you mentioned that common-space DW-NOMINATE scores is static and some features which has tendency to mix ideological and strategic motives were excluded. Can you explain a little bit more about why use static data and why exclude these features? Thanks!
Thanks for your presentation! In the paper you mentioned that some of the potentially useful information discarded can be retained via feature extraction. Can you explain what kind of information can be retained using this method and can this method be applied to other studies? Also, you mentioned that common-space DW-NOMINATE scores is static and some features which has tendency to mix ideological and strategic motives were excluded. Can you explain a little bit more about why use static data and why exclude these features? Thanks!