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WordSeer

A Text Analysis Environment for Humanities Scholars

WordSeer is a text analysis environment that combines visualization, information retrieval, sensemaking and and natural language processing to make the contents of text navigable, accessible, and useful.

National Endowment for the Humanities

WordSeer Videos



Text analysis in the Middle Distance

WordSeer Demo: Men and Women in Shakespeare

WordSeer Demo: Beautiful in Shakespeare

WordSeer: Love is everywhere! Shakespearean comedies and tragedies

Collections in WordSeer

Collections in WordSeer

Recent Posts

  • How do you read? An analysis of survey responses.
  • Empirical Study: Finding Examples of a Theme, by Example
  • WordSeer 2: Test users wanted
  • WordSeer: “love” in Shakespeare’s tragedies and comedies
  • “Beautiful” in Shakespeare
  • Digital Humanities and the Future of Search
  • WordSeer: Exploring Language Use in Slave Narratives
  • Extracting Social Networks from 19th Century Novels
  • Tools for Exploring Text: Natural Language Processing
  • MetaOptimize: Q+A for the large data set community
  • Guest Post: Digital Library Interfaces (via LibraryTechTalk)
  • The Humanities Meet Information Visualization
  • Text mining 19th century novels with the Stanford Literature Lab
  • Digital Library Interfaces That Work
  • Just because it’s obvious, doesn’t mean it’s useless

Tags

algorithms community digital humanities digital libraries english literature Grammar historians information seeking machine learning metadata Natural language processing Parsing search interface tags text mining user interfaces visualization

What we're tweeting about

  • http://t.co/FLqaIeMos2 Serendipitous machine-generated poetry from New York Times articles about 1 month ago
@silverasm
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