PRIORITIZATION

To achieve their objectives, analysts and decision-makers require more than single answers to simple questions. They require relevance—a way to prioritize and focus on the information that will build a “big picture,” support a hypothesis, or decide on a course of action. And while advances in natural language and alternative concept-based search engines have begun to address the need for relevance, Content Analyst technology provides the only technology available today with the power to prioritize information and bring relevant content to the forefront with little or no user intervention.

The power of Content Analyst technology makes it remarkably simple to use. A user can submit a query or provide an example document in one language, and Content Analyst technology will deliver a line-up of similar material, even if that material comes from multiple languages. Content Analyst technology reveals results in order of relevance and highlights key passages and concepts within those results.

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The Content Analyst technology prioritization system enables a wide array of advantages for increasing research speed, accuracy, and impact.

Decrease Time-to-Action and Increase Force Effectiveness—Users can set relevancy thresholds and sort material into Immediate Action, Queue for Review, and No Further Action categories. The result: Content Analyst technology provides a significant force-multiplication advantage by freeing organizations to focus working effort on relevant action items.

Simplify the Query Process—Users can query Content Analyst just as they would query a human. No need to experiment with multiple keywords. No need to sort through results. Content Analyst prioritizes documents based on true meaning, immediately.

Search and Prioritize Across Multiple Languages—Content Analyst technology is designed to search and prioritize text material in any language that can be represented in the Unicode® encoding system. It can be used across multiple languages simultaneously, including Arabic, Chinese, English, Farsi, French, Russian, Spanish, Korean, and Japanese. In addition, Content Analyst technology deals effectively with synonyms, name variations, aliases, trade names, and transliteration differences.