The Elgar Encyclopedia of Technology and Politics was published earlier this month. Andrea Ceron, the editor, compiled entries by many young political scientists to make the volume full of fresh perspectives. I have contributed to it by writing an entry on “text as data” (preprint) with an emphasis on the “string-of-words” approach that would improve the “bag-of-words” approach. Theresa Gessler mentions semi-supervised topic models and causal inference in her entry on topic models. Daniel Braby, Benjamin Guinaudeau, and Marius Sältzer link ideological scaling to broader dimension reduction problems in their entry on scaling models. You may find it interesting to compare these with an earlier entry on the same topics by Ken Benoit in the SAGE Handbook.
Encyclopedia entries on text analysis from fresh perspectives
