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By Steve Shellman
 Steve Shellman heads Strategic Analysis
Enterprises, Inc., an organization that uses
academic methodologies to provide national
decision support solutions. Under the
leadership of Stephen Shellman, SAE draws on
complex techniques such as named-entity
extraction and natural language processing
to create innovative and sound solutions for
strategic planning in both the private and
public sectors.
 An area of artificial intelligence, natural language
processing (NLP) began to surface in the 1950’s
in the fields of intelligence and automatic
translation. NLP concerns itself primarily with
language interactions between computers and
humans. Using NLP, computers can detect and
understand human speech in real-time. The
challenges associated with NLP stem from the
fact that human speech is not always direct or
precise; instead, it is filled with ambiguity and
regional dialect variations, and is highly
influenced by social context.
 Currently, NLP is being developed using a
machine learning approach to examine and apply
patterns while expanding comprehension.
Software programs are applied to a wide range of
analysis fields, such as named-entity
extraction, deep analytics, opinion
mining, coreference resolution, and sentence
segmentation.
Ideally, NLP will influence the development of
programming languages, and computer
programming will use natural human languages
rather than specialized codes for development.

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Natural Language Processing: Definition and Application

  • 2.  Steve Shellman heads Strategic Analysis Enterprises, Inc., an organization that uses academic methodologies to provide national decision support solutions. Under the leadership of Stephen Shellman, SAE draws on complex techniques such as named-entity extraction and natural language processing to create innovative and sound solutions for strategic planning in both the private and public sectors.
  • 3.  An area of artificial intelligence, natural language processing (NLP) began to surface in the 1950’s in the fields of intelligence and automatic translation. NLP concerns itself primarily with language interactions between computers and humans. Using NLP, computers can detect and understand human speech in real-time. The challenges associated with NLP stem from the fact that human speech is not always direct or precise; instead, it is filled with ambiguity and regional dialect variations, and is highly influenced by social context.
  • 4.  Currently, NLP is being developed using a machine learning approach to examine and apply patterns while expanding comprehension. Software programs are applied to a wide range of analysis fields, such as named-entity extraction, deep analytics, opinion mining, coreference resolution, and sentence segmentation. Ideally, NLP will influence the development of programming languages, and computer programming will use natural human languages rather than specialized codes for development.