Keynote: Recent Advances in Quantitative Text Analysis › view all

Joint SOCIUM and BIGSSS “Quantitative Text Analysis” Event Series

The second event of the event series will be a keynote lecture held by Kenneth Benoit of LSE and Quanteda Initiative on recent advances in quantitative text analysis on November 22, 2018.

Kenneth Benoit is Professor of Quantitative Social Research Methods and head of the Department of Methodology at the London School of Economics and Politics Science and part-time professor at Trinity College Dublin. His contribution to text analysis in political science should not be underestimated, where his development of computer-assisted estimation of policy positions from political texts remains a cornerstone in the literature. He maintains and created the QUANTEDA package for managing and analysing text data, and therefore is well placed to offer insights into the “big picture” of QTA, and what to expect in the future.

Registration: OPEN TO ALL, NO REGISTRATION NECESSARY

On the “Exploring Text as Data: Quantitative Text Analysis” Event Series

Can words be used as data? Social scientists are increasingly faced with large quantities of text – among them electoral manifestos, twitter feeds, press statements and interviews.  Moving beyond traditional, qualitative approaches to analysing them, researchers have started using the huge volumes of text available electronically to their advantage to test theories about the world. SOCIUM and BIGSSS are therefore happy to present the “Exploring Text as Data: Quantitative Text Analysis” event series, to engage with this new frontier of social science research.