Platform giving users the ability to create custom content sets containing as many as 10,000 documents. Users can search across the several primary source databases of Gale Cengage (see under 'More') and seamlessly select documents to be added to their custom content set. To access this resource off-campus, you need to connect through EduVPN. To start working with GDSL, you need to login with either Google or Microsoft.
These can then be analyzed and interrogated with various text analysis and visualization tools. Digital humanities analysis methods such as Named Entity Recognition, Topic Modelling, Parts of Speech, and others are included in the tool. For an explanation of the various methods, see this support page. Important information on the process of cleaning unstructured text (aka how to deal with OCR errors), can be found here.
Documents and other materials from the following primary source collections can be analyzed with GDSL:
- Archives Unbound
- Declassified Documents Online: Twentieth-Century British Intelligence
- The Economist Historical Archive (1843-2015)
- Financial Times Historical Archive, 1888-2016
- The Illustrated London News Historical Archive, 1842-2003
- The Independent Historical Archive, 1986-2016
- International Herald Tribune Historical Archive, 1887-2013
- Slavery and Anti-Slavery Archive: Slave trade in the Atlantic world
- The Telegraph Historical Archive, 1855-2016
- The Times Digital Archive (1785-2019)
- U.S. Declassified Documents Online
- Women’s Studies Archive: Voice and Vision
For a short description of the content of each of these collections, click on the relevant link above.
The following Library subscribed newspaper archives can be text mined with TDM Studio:
- Los Angeles Times (1881-1995)
- The New York Times (1851-2018)
- The Wall Street Journal (1889-2004)
- The Times of India (1838-2010)