Text and data mining (TDM) is a computational process that involves the automated analysis of large amounts of text or data to discover new insights, patterns, and trends. With TDM, researchers can efficiently navigate through extensive digital content like academic journals, books, newspapers, and databases, discovering valuable information and supporting evidence-based research.
NYU Law Library provides support for text and data mining project. Reach out to us before you get started so we can best assist you.
With TDM Studio, users can access U.S. congressional hearings within the Workbench environment. This coverage is split into four parts:
1) Hearings Part A 1824-1979 Contains published hearings from 1824-1979, and unpublished hearings from the U.S. House (1832-1971) and U.S. Senate (1824-1979)
2) Hearings Part B 1980-2003 Contains published hearings from 1980-2003, and unpublished hearing from the U.S. senate from 1980-1984
3) Hearings Part C 2004-2010 Contains published hearings from 2004-2010
4) Hearings Part D 2011 Contains published hearings released by GPO and collected from ProQuest from 2011-2015