At the heart of
Doc-Tags is a critical process, xAIgent, which consumes
any subject domain text and turns that text into a concise list
of descendingly important keywords - a process that has uncommon
accuracy and contextual validity giving the user
an objective 30,000 foot insightful understanding of
what that text is about. All, with automated precision. |
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The critical Key Phrase Extraction process contained within the xAIgent RESTful
API.
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The automatic
document tagging service of Doc-Tags is a
starting point - an example of how the xAIgent utility
can be exercised. Upon further evaluation you will find
that xAIgent is incredibly adept at surfacing key
terminology that often goes unseen by the human eye. |
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Putting the
Context in CaseText |
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When the chief
Technology Officer for CaseText (CARA Research
Suite) went looking for an
agnostic, purely objective approach for retrieving key
terminology, key phrases and keywords from Legal
Proceedings, his search came to an abrupt end after a brief evaluation of xAIgent. Today, xAIgent provides the context and
accuracy of the key phrases found in CaseText's case law search
service. learn more about
xAIgent... |
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Automatically, without training, of any subject matter |
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Objectively
retrieve the key terms, key phrases, keywords of any
text |
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Accurately and within milliseconds.
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Automatically create lists of
key phrases in ascending / descending order of importance |
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Discover
Linguistic Patterns |
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Searching for
linguistic patterns can be like searching for a needle
in a hay stack - not any more. xAIgent solves that
problem in a heart beat and with automated precision.
Expose repeatedly used terminology that may be cloaked
with incongruent language. |
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