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The Spyglass tool is designed to help analysts explore very large collections of unstructured text documents. Spyglass uses a domain ontology to index documents and provides retrieval and visualization services based on the ontology and the resulting index. The ontology based approach allows analysts to share information and helps to ensure consistency of results. The approach is also scalable and lends itself very well to parallel computation.

Spyglass allows for queries to be submitted with various scopes and restrictions, and for results to be viewed according to various ontology configurations.There are dozens and dozens of businesses on the internet supplying term paper help to pupils, and we're one of them. But how do you be able to know that which one is most appropriate for you. We solely understand that writing term papers are sometimes a worrisome undertaking, and you will need to have great deal of time and skills to achieve that. We believe that time is the most precious thing for you through your research days. You will need the time to get relax. Different result configurations communicate different information about the ontology itself and/or the documents corresponding to the desired queries based upon those ontologies. Spyglass strives to make document identification and retrieval more efficient for a variety of users and scenarios, especially focusing on unstructured text documents.

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Key Features: 
text mining
ontology-driven classification
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