Difference between revisions of "RATOM"

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== Description ==
 
== Description ==
The Review, Appraisal, and Triage of Mail (RATOM) project is developing software to assist archives and other collecting organizations with email analysis, selection, and appraisal tasks.  The project extends the email processing capabilities currently present in the TOMES software and BitCurator environment, developing additional modules for these tools along with select standalone software to support more advanced workflows.
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The Review, Appraisal, and Triage of Mail (RATOM) project is developing software to assist archives and other collecting organizations with email analysis, selection, and appraisal tasks.  The project extends the email processing capabilities currently present in the TOMES software and BitCurator environment, developing additional modules for these tools along with select standalone software to support more advanced workflows. These include identifying and reporting on entities present within emails and email attachments using a scalable NLP library; identifying materials requiring redaction or review due to the presence of potentially sensitive information; and developing software modules to assist with preparation of materials for release and public access.
  
 
== User Experiences ==
 
== User Experiences ==

Revision as of 08:39, 16 June 2020


RATOM
Review, Appraisal, and Triage of Mail (RATOM) is software to assist archives and other collecting organizations with email analysis, selection, and appraisal tasks
Homepage:http://ratom.web.unc.edu/
License:MIT
Platforms:?


Description

The Review, Appraisal, and Triage of Mail (RATOM) project is developing software to assist archives and other collecting organizations with email analysis, selection, and appraisal tasks. The project extends the email processing capabilities currently present in the TOMES software and BitCurator environment, developing additional modules for these tools along with select standalone software to support more advanced workflows. These include identifying and reporting on entities present within emails and email attachments using a scalable NLP library; identifying materials requiring redaction or review due to the presence of potentially sensitive information; and developing software modules to assist with preparation of materials for release and public access.

User Experiences

Development Activity