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Voyant is a low barrier text analysis tool that delivers a rich, an interactive interface and a variety of visualizations.

• Data: Text of your choosing.  Upload interface accepts files in the following formats: plain text, PDF that has embedded OCR, MS Word doc and docx files, URLs. Can take multiple documents to make a set.  Upload of any material will be subject to the Voyant privacy policy.
• Analysis: Voyant environment lists every word in the document and counts for each.  Also calculates frequencies based on the total word word count of the document(s) in the uploaded set. 
• Visualization: Interactive dashboard: Wordcloudword cloud, graph of frequency over document segments, tabled secondary data, source data as text.  Also has navigational aids that integrate source and an secondary data with each other and with visualizations, and offers utilities like stopword for stop word control, URLs for display, screen capture, secondary data download, etc. 

Sample texts and URLs for analysis are listed below for experimentation, but feel free to use other source data that interests you. 

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• Data: Primary source data was selected volumes from Google Books (methodology is described here). 
• Analysis: Tool is integrated with derives secondary data (of tokens, counts, frequencies, and publication dates) derived from primary source. 
• Visualization: Simple line graph plots of ngram frequency over publication date from secondary data. 
• Examples
  
  • Urban renewal
  • Names of New York City
  • Spanish words in English publications
  • Frequency for which Roland Barthes has been cited in various languagesTerms related to racial integration
  • "Ebola" 1975-2008 in various languages (compare with data from WHO on Ebola outbreaks and a map of official languages of African countries)

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• Data: Primary source data is the openly viewable texts from the HathiTrust Research Center (publications mostly pre-1923).
• Analysis: Tool is integrated with secondary data (HTRC derives tokens, counts, frequencies, publication dates) derived from primary source by the HTRC. , etc. and composes in SOLR indexes.
• Visualization: Simple line graph plots of ngram frequency over publication date of the secondary data. Tool has faceting control as well that leverage enriched bibliographic metadata of the texts comprising the primary data. 
• Examples
  • Spanish Words in English publications
  • Various words for "creole"
  • Mystery (contrast fiction and nonfiction)

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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.

• Data: Gmail, Yahoo or MS Exchange (unhosted only) mail account.
• Analysis: Done in real time.  Immersion parses mail headers for flow information.
• Visualization: Displays entities (senders, receivers, etc.) as nodes and sending/receiving connections as lines. The slider at the foot of the visualization controls for time.  Size of nodes pertains to volume of mail sent.

Spatial and Temporal Representation

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• Data: User supplied.  The example below is from selected metadata from the Cornell Hip  Hop CollectionHipHop Collection. It included Photographs from Joe Conzo of the early HipHop Music scene and flyers of HipHop venues. 
• Analysis: The photos and flyers were cataloged in Shared Shelf with spatial and temporal information of the subjects.  Resulting metadata was downloaded in MS Excel format. 
• Visualization:  

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• Spreadsheet was uploaded into Viewshare, ans minimally set up.  Map and timeline tie to uploaded secondary data. 

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