This page is a companion to a guest lecture prepared for ARCH 3819/ARCH5819.
Please bring a laptop. If you do not own one, feel free to check one out at the Olin circulation desk. Our explorations are intended to be participatory.
No special software will be needed. All explorations will be done through a Web browser.
There will be a short discussion where we define terms (at least loosely) so that we might use a common language for our discussion and critique of these tools and their strategies.
All analysis tools will be demonstrated; no prior knowledge of any tools will be required. The room is equipped with video input to allow sharing of your desktop on the screen. If you discover something that you would like to share and discuss, we can easily do so.
Voyant is a low barrier text analysis tool that delivers a rich, interactive interface and a variety of visualizations.
Sample texts and URLs for analysis are listed below for experimentation, but feel free to use other source data that interests you.
nGrams depict the frequency of a word or word phrase and are most often depicted over publication year. We have two nGram tools, each leveraging different source data.
Google's nGram Viewer. The links below as starting points. Dynamic modifications can be made at any point. Rules for syntax can be found on the About page.
HathiTrust Research Center (HTRC) Bookworm
Immersion is a tool for analyzing and depicting connections in email.
By design, Immersion collects only header information (From, To, Cc and Timestamp). The FAQ describes what information you grant access to, how it will be used, and how to delete your data when you are done. You can also explore with demo data.
Gephi is a commonly used network analysis tool. It requires local installation, and is by comparison more flexible and powerful.
Viewshare is a free tool provided by the Library of Congress that generates interactive maps and timelines with facets for digital collections. The tool presupposes the setup of a user account and data in columnar form that includes location and/or time related data fields. A few helpful tutorials are available.
Test visualization of digital collections from Cornell University Hip Hop Collection