New Pathways Through the Ancient World: HGIS, Linked data, and the Web.
Wonder how mapping technology can help you teach and understand history? Ryan Horne, the Director of the Ancient World Mapping Center at the University of North Carolina at Chapel Hill, will show how the Antiquity a-la-Carte application allows users […]
Text Mining Uncovers U.S. Emotion and British Reserve
An analysis reveals that writers’ expressions of sentiment on opposite sides of the pond have grown apart in recent decades
but just by doing a somewhat crude analysis of emotion words it is possible to find trends that resonate with what we know about history
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.
Join the conversation!
Use your Wake Forest username and password to login and contribute to DH Talk.
Tag CloudAda Lovelace advocacy Alan Turing Artificial Intelligence big data careers crowdsourcing culturomics database design definitions DH2014 digital collections digital curation digital pedagogy digital scholarship digitization distant reading history humanities data curation internet italy language liberal arts libraries mapping methods multimodal omega peer review quantitative analysis resource resources sentiment analysis southern history spatial analysis statistics teaching textual analysis THATCamp timelines transcription Turing Test undergraduate education venice word frequency