Swiftriver – SLISa Dataflow

Swiftriver – SLISa Dataflow SiLCC Swiftriver Content Items come back from the Swiftriver Language SiLCC with NLP tagging added to any tagging taken from the original content. Computational Core SLISa Tagging corrections are stored in a database local to the Swiftriver install. This allows each Swiftriver Language installation of Swiftriver to work from its own Improvement Service list of tagging corrections. Tags sent back from the SiLCC are checked against a list of corrections compiled by the actions of Sweepers The Swiftriver Content Item is now only tagged with tags that are applicable to this install of Swiftriver. Any tags that have been corrected before are removed This data allows the SiLCC to learn and Tag removal data is improve over time. Care must be taken but if a tag is repeatedly reported as incorrect then sent back to the the NLP algorithm can take this into account SiLCC so the NLP can next time. learn over time. The pre-processing of the Swiftriver Content Item is now complete and the content is Swiftriver UI ready for the Swiftriver UI.

Swiftriver – SLISa Dataflow

by Appfrica on Mar 07, 2010

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Swiftriver – SLISa Dataflow — Document Transcript

http://blog.ushahidi.com	33
http://blog.swiftly.org	1