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Difference between revisions of "Natural Language Processing (NLP)"

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Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can.
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NLP combines computational linguistics—rule-based modeling of human language—with statistical, machine learning, and deep learning models. Together, these technologies enable computers to process human language in the form of text or voice data and to ‘understand’ its full meaning, complete with the speaker or writer’s intent and sentiment.<ref>[https://www.ibm.com/cloud/learn/natural-language-processing What is natural language processing?]</ref>
  
  
 
== See Also ==
 
== See Also ==
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*[[Artificial Intelligence (AI)]]
 
*[[IT Strategy (Information Technology Strategy)]]
 
*[[IT Strategy (Information Technology Strategy)]]
 
*[[IT Governance]]
 
*[[IT Governance]]
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*[[IT Operations (Information Technology Operations)]]
 
*[[IT Operations (Information Technology Operations)]]
 
*[[Chief Information Officer (CIO)]]
 
*[[Chief Information Officer (CIO)]]
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==References==
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<references />

Revision as of 15:38, 12 December 2022

Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can.

NLP combines computational linguistics—rule-based modeling of human language—with statistical, machine learning, and deep learning models. Together, these technologies enable computers to process human language in the form of text or voice data and to ‘understand’ its full meaning, complete with the speaker or writer’s intent and sentiment.[1]


See Also


References