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- a collaborative research center (jointly managed by Indiana University and the University of Illinois) dedicated to developing cutting-edge software tools and cyberinfrastructure that enable advanced computational access to large amounts of digital text. Let's unpack this:
- "research" - algorithmic analysis, computational analysis
- "cyberinfrastructure" - Data to Insight center at University of Indiana, supercomputers, data warehouse - SOLR indices
- "large amounts" - "at scale", the bigger the better.
- "cutting edge" - experimental by nature - although taking steps to move into production, things can break, things are unfinished/in-development
- intended to serve and build community for scholars interested in text anlysisanalysis; join usergroup mailing list (send an email to htrc-usergroup-l-subscribe@list.indiana.edu)
What specific services does the HTRC offer scholars?
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- allows researchers to create a set of text to analyze algorithmically, see Portal & Workset Builder Tutorial for v3.0, " for tutorial
- Linked from the portal, but also at https://sharc.hathitrust.org/blacklight
- really, really helps to use in a second window and operate the portal in the first
- worksets can be private (open to your own use and management) or public (viewable by all logged-in HTRC users, management restricted to owner)
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- allows researchers to run ready to use algorithms against specific collections, see Portal & Workset Builder Tutorial for v3.0, " for tutorial
Bookworm
Extracted Features datasets
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- Many algorithms provided, others can be added by scholars' request as time permits development
- Workshop dedicated to these alone (ask and I can give you a tour)
- Handout available
Data Capsule
- allows researchers to create a virtual machine environment, confgure configure with tools, and analyze texts, see Portal & Workset Builder Tutorial for v3.0, " for details
- not yet tied to worksets
- currently restricted to "open-open" (non-restricted) corpus
Bookworm
- same functionality as Google nGrams
- base data is currently "open-open" data (liberated from Google stipulations); working on legal aspects required for base data to shift to entire HT corpus, regardless of viewability.
- plans and allocated grant to develop tie-in to worksets
- See wiki for tutorial
Extracted Features datasets
- rationale and features explained