On Sept. 11, Gale launched its Digital Scholar Lab (DSL), a cloud-based text mining and natural language processing solution that facilitates analysis of raw text data (optical character recognition/OCR text) from 160 million pages of Gale Primary Sources content. Combining commonly used open source algorithms and programs such as MALLET (MAchine Learning for LanguagE Toolkit) with proprietary tools, DSL is designed to enable students and researchers to generate data sets, utilize integrated data visualization tools, download and share those data sets and visualizations, and organize research for long-term projects.
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