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