Text mining is a research technique using computational analysis to uncover patterns in large text-based data sets. It is useful in numerous scholarly fields, from the humanities, where it is one of the tools of digital humanities, to the sciences, where useful data can be mined from text databases of published literature. Source: UMass Amherst Libraries
The JSTOR Data for Research (DfR) service, freely available to the public, provides text and data mining tools for selecting and interacting with the content in JSTOR. The tools include faceted searching, topic modeling, and data visualization. Researchers can obtain, view and bulk download document-level datasets, including word frequencies, citations, key terms and ngrams. JSTOR will work with you to tailor datasets to your needs. For more information, see the Data for Research FAQ.