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I submitted a Digital Public Library of America (DPLA) beta-sprint proposal, and it is full of descriptions, illustrations, and demonstrations of how text mining and other text analysis techniques could be applied to library collections. From the Executive Summary: Use & understand is an evolutionary step in the processes and functions of a library. These processes and functions enable the reader to ask and answer questions of large and small sets of documents relatively easily. Through the use of various text mining techniques, the reader can grasp quickly the content of documents, extract some of their meaning, and evaluate them more thoroughly when compared to the traditional application of metadata. Some of these processes and functions include: word/phrase frequency lists, concordances, histograms illustrating the location of words/phrases in a text, network diagrams illustrating what author say "in the same breath" when they mention a given word, plotting publication dates on a timeline, measuring the weight of a concept in a text, evaluating texts based on parts-of-speech, supplementing texts with Wikipedia articles, and plotting place names on a world maps. http://bit.ly/ojWmzN For more information about the DPLA, see -- http://bit.ly/irjzqO -- Eric Lease Morgan University of Notre Dame