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The second potential impact is adapting a visual exploration environment like the Galaxy Viewer (GV) to the the exploration of large subsets. Even with successful subsetting techniques, users get too many results to many skim. The GV gives humanists a viable way to explore results using topic modelling. It also allows humanists to then drill down to the actual texts as a way of checking results against the texts themselves. The challenge now is to refine this interface, compare it to alternatives, and test a robust version with a larger set of users. We believe that the GV could become part of a research interface to the open (and closed) HathiTrust collections that would make them accessible to a broad research audience.

Resources

Geoffrey Rockwell, Stéfan Sinclair, Laura Mandell, Susan Brown, and Matthew Wilkens. Project final report. https://docs.google.com/document/d/1BwWd_tR6TtA7kp6QYQuAQte88Ri4Vvcx9Bho7NTKQ6o/edit?ts=5665d43e#

https://github.com/htrc/ACS-TT/blob/master/tools/notebooks/ClassifyingPhilosophicalText.ipynb (Supervised learning: Classifying philosophical texts)

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