Ultimate Guide to Understand Natural Language Processing (NLP) - PowerPoint PPT Presentation

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Ultimate Guide to Understand Natural Language Processing (NLP)

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We have explained the basics of Natural Language Processing and what are major applications that mainly created with NLP. – PowerPoint PPT presentation

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Title: Ultimate Guide to Understand Natural Language Processing (NLP)


1
Natural Language Processing
  • Natural Language  simply means the language that
    we use on regular basis for communication. It can
    be any language like English, Hindi, Spanish etc.
    But when it comes to computers, they can hardly
    understand our natural language. To make them
    understand our natural language, we make use of
    the technology known as "Natural Language
    Processing".

2
Overview of NLP
In other words, it can be defined as the
capability of a computer program to understand
human language and development of such
applications is quite challenging as natural
language is highly ambiguous and is always
changing and evolving due to its linguistic
structure depending upon many variables,
dialects, regional context etc .
3
Benefits of NLP
  • Improved accuracy and efficiency of
    documentation.
  • The ability to automatically make a readable
    summary text.
  • Useful for personal assistants such as Alexa.
  • Allows an organization to use chatbots for
    customer support.
  • Easier to perform sentiment analysis.

4
Guide to Understand NLP
NLP relies on machine learning as well as deep
learning depending on data to acquire meaning
from human languages. It is also termed as
a computational technique for scrutinizing and
synthesizing natural language and speech. 
5
Why NLP is important?
Nowadays, the evolution of Natural Language
Processing applications is quite challenging,
because computers traditionally work explicitly,
 unambiguous and extremely structured languages
such as python and other programming languages,
however, the natural language is often ambiguous
and the linguistic structure can depend on many
intricate variables, including dialect, slangs,
and the social context.
6
Natural Language Processing
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