Digital Magazine and Newspaper Editions: Best Practice Cases
The following modules are available with TME:
� Nconcept Extractor
o Intelligently locates and extracts key concepts (keywords and noun phrases)
within any document, creating a unique snapshot of a document's most
important ideas.
o Automates extraction and ranking of concepts to isolate subjects and themes
within content.
o Combines linguistics-based and statistics-backed processes with great
sophistication.
o Patented technology (LDNA™-Linguistic DNA).
� Ncategorizer
o Automatically indexes or classifies documents into categories/terms, and
shows category relevancies.
o Takes extracted concepts from documents and maps non-controlled terms
(i.e., the concepts) to a controlled vocabulary (e.g., a customer's) that may
include taxonomy, thesaurus, ontology, authority file, or other lists.
o Ncategorizer comes trained on the IPTC taxonomy out-of-the-box (available
only for some languages).
� Nfinder
o Automates extraction of entities (controlled terms). Relies on machine
learning and linguistic rules and works with an organization's authority files
and dictionaries as well as with Nstein's pre-built authority files.
o Can be customized with existing client authority files.
o Some of the entity cartridges available:
� People
� Geographical locations (country, city, state, province, etc.)
� Organizations (company names, etc.)
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
� Nretriever: topic clustering
Services Offered
For content-driven companies looking to leverage the exciting potential of the online
world, Nstein offers complete professional services from initial project scope to the final
live transition. Drawing on frontline expertise in online publishing best practices,
Nstein works hand-in-hand with organizations to define and implement scalable
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