The Gale Digital Scholar Lab is a platform for text analysis, data mining, and data visualization. Using Gale’s Primary Sources archive, you can build content, clean, and analyze it. The tools cover document clustering, Named Entity Recognition, Ngrams, parts of speech, sentiment analysis, and topic modeling. The researcher can upload their own documents as well. Research assistance is available for this robust resource.
Contact Kevin Gunn, Coordinator of Digital Scholarship, 202-319-5504, firstname.lastname@example.org.