Text Mining Uncovers U.S. Emotion and British Reserve: Scientific American
By Jerid Francom On April 24, 2013 · Leave a Comment · In News
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
via Text Mining Uncovers U.S. Emotion and British Reserve: Scientific American.
Tagged with: culturomics • history • language • sentiment analysis
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 digital collections digital curation digital pedagogy digital scholarship digitization distant reading history humanities data curation internet italy language liberal arts libraries mapping maps methods multimodal omega peer review quantitative analysis resource resources sentiment analysis southern history spatial analysis Stanford DH statistics teaching textual analysis THATCamp timelines transcription Turing Test undergraduate education venice word frequency