Built to process high volumes of multilingual, unstructured information, Nstein's Text Mining Engine complies with press and media industry requirements for ongoing content production workflows, automatically generating contextual metatags from sources such as newsroom articles, newsfeeds, audio and video files, blogs, forums and user-generated content.
Nstein's TME also provides a highly productive content management environment that offers benefits to editorial staff and knowledge workers. Going beyond mere keyword-based technology, it delivers faster and more accurate search results, seamlessly integrates with existing workflows and enables highly profitable categorization and repurposing of both live content and archives.
| Available Modules | |
| Nconcept Extractor |
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| Ncategorizer |
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| Nfinder |
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Additional add-on text mining packages also available: Nsummarizer (document summaries), Nserver Manager (back office with Authority Files & Taxonomy Manager, and Knowledge Base Manager), Nsentiment (tone detector), Nlikethis (similar documents) and Nretriever (topic clustering).
For a complete list of modules and features, please download Nstein's TME Data Sheet.
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