Northeastern is pleased to host the seventh annual research conference on “New Directions in Analyzing Text as Data” on October 14-15, 2016. This two-day conference draws together scholars from many different universities and disciplines to discuss developments in text as data research. Please see the program for agenda details.
Attendance is limited. Due to space limitations we can only accept a limited number of attendees. If you have not received an invitation and would like to attend, please email us at firstname.lastname@example.org with your current position and five or six keywords regarding the nature of your interest in text as data to find out if we have additional capacity.
Attendees: For those receiving an invitation, the conference budget will cover registration fees, lunch and refreshments. Please see the Travel & Hotel page for information on area hotels and other details.
The main purpose of this conference is to bring together researchers from the social sciences, computer science and linguistics to investigate new approaches to utilizing text in social science research. Text has always been a valuable resource for research, and recent developments in automatic language-processing methodologies from the fields of information retrieval, natural language processing, and machine learning are creating unprecedented opportunities for searching, categorizing, and extracting social science information from text.
Previous conferences took place at Harvard University, Northwestern University, the London School of Economics, and New York University. Selection of participants and papers for the conferences is the responsibility of a team led by Nick Beauchamp (Northeastern) and David Smith (Northeastern), along with Ken Benoit (LSE), Yejin Choi (University of Washington), and Arthur Spirling (NYU).
Nick Beauchamp and David Smith
Paper Selection Committee
Nick Beauchamp, David Smith, Arthur Spirling, Ken Benoit, and Yejin Choi