Attensity, an innovator in Text Analytics software solutions, announced the addition of search capabilities to Attensity 4, its new suite for extracting facts from unstructured data. Attensity Text Search enables users to rapidly filter their datasets before unleashing the linguistic-based tools of Attensity for conducting deeper analysis.
Users can derive faster insights into the facts - the who, what, where, when, how and under what conditions - that reside in the text resulting from a search. For example, a user might hypothesize that a certain issue is starting to emerge in the business and use Attensity Text Search to determine if that issue is mentioned in service repair notes or claims forms. Once the results are returned, users can further hone in on the hypothesis by querying all of the behaviors or issues discussed in the documents that contain the keyword or phrase originally used for the search. Attensity Text Search employs the intelligent search algorithms of Globalbrain, licensed from Brainware, Inc., of Dulles, Virginia.
Attensity 4's Text Search application allows users to:
- Test hypothesis by running ad hoc searches to determine if documents contain key words, concepts, issues or problems they are seeking to understand.
- Easily find documents of interest employing advanced search features like fuzzy search, phrasal search and relevance scoring.
- Delve deeper into documents of interest by running advanced text analysis against documents returned in search results.
Keywords are tagged in unstructured data as it flows through Attensity's extraction engine. The entire process is embedded in the application, which eliminates costly set up, implementation and update processes.
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