The reading group is intended for folks in the field and related fields to keep up with the latest work in NLP, grow in knowledge of particular domains, and practice critical thinking. Attendees with limited NLP knowledge are welcome, but the conversations typically assume a modest background in the field. The following references may help the newer researcher to better track content.Â
NLP in General
Stanford Online Course Lectures - Jurafsky & Manning
The standard textbook: Speech and Language Processing: An Introduction to Natural Language Processing - Jurafsky & Martin, 2008
NLP for Social Science
Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts - Grimmer & Stewart, 2013
Computational Text Analysis for Social Science: Model Assumptions and Complexity - O'Connor, Bamman, & Smith, 2013
Data-Driven Content Analysis of Social Media: A Systematic Overview of Automated Methods - Schwartz & Ungar, 2015
Video Tutorial (For a General Audience)