Title: what is natural language processing
1What Is Natural Language Processing(NLP)?
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2Table Of Content
01 02 03
04 05
What is Natural Language Processing
What is natural language processing used
for? Benefits of natural language processing
How does natural language processing work? Why
is natural language processing important?
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3What is Natural Language Processing
NLP allows a computer program to understand
human language as it is spoken and written,
referred to as natural language. It is a part of
AI.
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4How does natural language processing work?
Natural Language Processing helps computer
systems to recognize natural language as humans
do. Whether the language is spoken or written,
NLP uses artificial intelligence to take
real-global enter, manner it, and make feel of
it in a manner a computer can understand. Just
as people have specific sensors along with ears
to listen and eyes to see, computer systems have
programs to examine and microphones to acquire
audio. And simply as humans have a mind to the
manner that enters, computer systems have a
program for their respective inputs. At a few
factors in processing, the entry is transformed
into code that the computer can
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5Why is natural language processing important?
Industries use vast amounts of unstructured,
text-heavy data and require a method to process
it efficiently. Much information made online
and stored in databases is natural human
language until businesses could not effectively
analyze this data. This is where NLP is helpful.
6What is natural language processing used for?
- Text classification
- Text extraction
- Machine translation
- Natural language generation
7Benefits of natural language processing
The primary benefit of Natural Language
Processing is that it improves how humans and
computers intercommunicate. Improved precision
and efficiency of documentation. power to
automatically make a readable overview of a more
significant, more complicated actual text. Valid
for private assistants such as Alexa by allowing
it to understand the spoken word. More
comfortable performing sentiment
analysis. Supplies advanced insights from
analytics that were previously unreachable due
to data volume.
8Thank You!
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