Here’s Scott Weingart’s annual analysis of the acceptance and rejections for this years Digital Humanities conference. Previous year’s analyses are available too. This is a good way to get an overview of how the field has developed over the years.
People new to text mining are often disillusioned when they figure out how it’s actually done — which is still, in large part, by counting words. They’re willing to believe that computers have developed some clever strategy for finding patterns in language — but think “surely it’s something better than that?“
Our goalThe DH Community is a program of Wake Forest's Humanities Institute. We are faculty from across campus interested in investigating the emergence of digital humanities as a field of study, and its relevance and usefulness as a research and teaching tool in the humanities.
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Tag Cloudadministration alan liu Artificial Intelligence close reading cloud culturomics definitions DH2014 digital pedagogy digital projects digital scholarship digitization distant reading funding hastac history humanities data curation internet language liberal arts libraries manuscripts maps media collections methods multimedia multimodal net neutrality omega organization pedagogy peer review quantitative analysis resource science spatial analysis Stanford DH statistics symposium teaching textual analysis THATCamp timelines Turing Test word frequency