SmartIndexing

Nexis SmartIndexing identifies and tags significant topics and names in our News and Business content to promote fast and accurate search and retrieval. It can add value to any search. Use SmartIndexing to:

  • Capture broad concepts in a single term (e.g. Airlines, Trade Agreements, Banking & Finance Authorities). Rather than string together an endless keyword search, take advantage of the extensive research and testing the Nexis indexers have done for you
  • Conduct precise searches, pinpointing specific terminology
  • Find companies with common names (like Orange or Boots) or major stories about companies that appear frequently in the news (such as Microsoft and IBM)
  • Find things that are hard to represent in a keyword search, including concepts such as “rankings”, “statistics”, or “trends”. these are all SmartIndexing terms.

How are SmartIndexing terms created?

Indexing at LexisNexis is a unique partnership between technology and human editorial labor. Subject experts and information professionals create vocabularies and algorithmic rules governing their application. These experts then test and analyze their results before a term is released into production. Controlled vocabularies are applied to new documents as they
are added to the system. Periodically all indexed documents are retrospectively updated with the latest vocabularies.

 

 

 

 

 

 

SmartIndexing really is smart…

  • Because we create new terms each month meaning your market will constantly be up-to-date and include all recent stories or news.
  • Multi-language indexing across English, German and French content means you can retrieve multi-lingual results from a single search, using a single index term.
  • You can filter your search results into relevant groups by subject, industry, company, geographic location and publication type to help you access the most relevant information.
  • View keywords summarised in the content of documents, therefore allowing quick links between similar topics.
  • You can extend your search from any document to find others about similar or related topics, enabling you to focused your results to increase relevance.