Text Miner plug-in for Ontology Manager

Semaphore's Text Miner Analyzes your Content to Identify Terms and Aid Automatic Tagging

The Semaphore Text Miner plug-in to Ontology Manager helps the ontology builder with the task of analyzing content to identifying candidate words and phrases.

1. A user will select a set of documents, typically this set of documents is known to be about a specific topic. 
   or
   A user runs a 'Remote Text Mine' – a search term is entered and run against a Google Search Appliance index and the dynamic summaries returned become the text mine source.
2. Text Miner analyzes the content set:
   • runs a 'noun phrase extraction' algorithm to pull out phrases from the content
   • applies statistical counts of phrase frequencies
   • generates logical term groupings
   • checks if the phrases or words already exist in the model as Preferred or Non-preferred terms
3. The user changes phrase lengths, filters on counts and reviews the terms in context in 'snippets' from the original source.
4. These potential terms can be dragged into Ontology Manager to create Preferred or Non-Preferred candidate terms in the model.