tDAR Logo tDAR digital antiquity

Grand Challenges vs Actual Challenges: Text mining small and big data for quantitative insights

Author(s): Joss Whittaker ; Ian Kretzler ; Ben Marwick

Year: 2015

» Downloads & Basic Metadata

Summary

Kintigh et al (2014) recently published a survey of archaeologists that claimed to identify 'archaeology's most important scientific challenges'. Numerous commentators have critiqued the small sample size of this survey (181 respondents) and the subjective reading of the responses. We use quantitative methods to analyse the full text of the survey responses and discover different challenges to those highlighted by Kintigh et al. We also analyse over 6000 archaeology journal articles in JSTOR to investigate the importance of the 'grand challenges' over time. We show how quantitative analysis of text reveals the diversity and dynamism of archaeological topics.

SAA 2015 abstracts made available in tDAR courtesy of the Society for American Archaeology and Center for Digital Antiquity Collaborative Program to improve digital data in archaeology. If you are the author of this presentation you may upload your paper, poster, presentation, or associated data (up to 3 files/30MB) for free. Please visit http://www.tdar.org/SAA2015 for instructions and more information.


This Resource is Part of the Following Collections


Cite this Record

Grand Challenges vs Actual Challenges: Text mining small and big data for quantitative insights. Ian Kretzler, Joss Whittaker, Ben Marwick. Presented at The 80th Annual Meeting of the Society for American Archaeology, San Francisco, California. 2015 ( tDAR id: 395071)


Keywords

General
text mining


Arizona State University The Andrew W. Mellon Foundation National Science Foundation National Endowment for the Humanities Society for American Archaeology Archaeological Institute of America