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Tag Suggester for SharePoint 2010 1.1

Offers a set of appropriate content-based category or keyword suggestions, depending on the term store taxonomies and managed metadata, tag rules,

Features and benefits:

* Increased productivity and precision while tagging SharePoint items and documents manually based on given taxonomies / managed metadata. The system is not only able to suggest many useful tags, but also to discover new and relevant tags, not suggested by any of the human users.
* An additional suggest list is displayed with appropriate tags / keywords based on certain term stores / taxonomies. 
* Taxonomy entry point (root node) is automatically chosen with respect to the current meta data column settings. 
* List items are processed as well as documents and files located in SharePoint libraries. 
* Properties (meta data column content) of list items and documents are considered for tagging. 
* The context of items and documents, e.g. site, list, library, folder is considered for tagging. 
* The document or file textual contents are considered, if IFilters are installed. 
* Rule-based categorization. High performance Microsoft .NET Framework bases rule engine with high quality of subject classification.
* Installed IFilters are used for content analysis, e.g. Word, Excel, PowerPoint, PDF and many more).
* External data sources can be tagged as well.
* Fully integrated in default SharePoint tagging dialog. Out-of-the-box features (e.g. auto-complete) are kept working. 
* 100% SharePoint 2010 techn
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The price is for the full KM Suite

Similar software:
  • SharePoint 2010 Tag Navigation Web Part 1.7.1 — The SharePoint 2010 Tag Navigation Web Part displays taxonomies of managed metadata or enterprise keywords as additional tree-style navigation linked to the tag profiles or to the tagged content - independent of the content's storage location.
  • Auto Tagger for SharePoint 2010 1.7.1 — Auto-tagging of SharePoint managed metadata and enterprise keyword columns with content-based categories or keywords depending on term store taxonomies, tag rules, item and document properties, information store context and textual document contents.
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