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MindServer™ Categorization automatically maps structured and unstructured information into an information structure - taxonomy, ontology, or subject heading classification.
Reduce Time - Slash categorization time by automatically determining and assigning documents to taxonomy categories.
Faster Startup - Automate taxonomy development by suggesting new categories and generate a customized taxonomy from an existing document collection.
Route in Real Time - Automatically identify relevant content and route to relevant individuals or locations.
Improve Accuracy and Consistency - Determine correct category assignments automatically or with assistance from annotation experts.
Categorization Features
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Automatically or semi-automatically incorporate documents into one or more taxonomies |
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Accurately assign predened descriptors, thesauri terms, or metadata to a document collection |
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Accurately map documents into multiple categories – automatically generate metadata, tag documents, and map into XML |
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Multiple Training Modes - train automatically from an existing document collection, or train manually using positive or negative example documents |
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Compatible with over 100 document formats including Microsoft Offce,
Adobe PDF, ASCII, HTML, XML, and SGML |
Taxonomy Management
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Generate a taxonomy from existing content |
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Manually add and delete categories within the taxonomy |
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Automatically identify new categories based on incoming content |
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Graphical User Interface for easy management of multiple taxonomies |
Technology
The core technology powering Recommind's MindServer platform is based on patented, proprietary machine learning techniques including the unique Probabilistic Latent Semantic Analysis (PLSA) algorithms. Recommind’s technology provides the highest quality content analysis on the market and delivers the benefits of human-level accuracy with the automation of a computer.
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Bertelsmann AG
“Recommind's technology impressed us because it combines the fullest possible automation with an extremely high quality of categorization. Early issue detection at Bertelsmann has become even faster and more precise. We place high demands on the system and have generated real additional benefit for the users of our Issues Management-Net”
Helge Hoffmeister
Corporate Issues Manager at
Bertelsmann AG
Bauer Verlagsgruppe
Bertelsmann AG
Handelsblatt
SMD
ZDF
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