This power point is about the natural language understanding of chat bot. This power point includes the contents like NLU and NLP.

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6. What is a chatbot?

7. What is a chatbot?
Chatbot is computer
program designed
to simulate conversation
with human users,
especially over the
internet.

8. If chat bot is a
computer
program, how
will they
understand the
language we
use?

9. A basic form of NLU is called p
takes written text and converts
structured format for computer
Instead of relying on computer
NLU enables a computer to com
respond to human-written text.
Natural language understanding (NLU
artificial intelligence that uses comput
understand input in the form of senten
speech.
Natural
Language
Understanding

10. Natural Language Understanding
A basic form of NLU is called p
takes written text and converts
structured format for computer
Instead of relying on computer
NLU enables a computer to com
respond to human-written text.
Natural language understanding (NLU) is a branch of
artificial intelligence that uses computer software to
understand input in the form of sentences using text or
speech.

11. Natural Language Understanding
Natural language understanding (NLU
artificial intelligence that uses comput
understand input in the form of senten
speech.
A basic form of NLU is called parsing, which
takes written text and converts it into a
structured format for computers to understand.
Instead of relying on computer language syntax,
NLU enables a computer to comprehend and
respond to human-written text.

12. Why is natural
language
understanding
important?

13. . language understanding systems let
organizations create products or tools that can
both understand words and interpret their
meaning.
Human language is
typically difficult for
computers to grasp, as
it's filled with complex,
subtle and changing
meanings.

14. . language understanding systems let
organizations create products or tools that can
both understand words and interpret their
meaning.
NLU makes it possible
to carry out a dialogue
with a computer using a
human-based language.

15. Intent Recognition
Key Components Of Natural Language Understanding
 It is the process of
identifying the user's
sentiment in input
text and determining
their objective.
 It's the first and most
important part of
NLU, as it establishes
the meaning of the
text.
 It is a specific type of
NLU that focuses on
identifying the
entities in a message
and then extracting
the most important
information about
those entities.
Entity Recognition

16.  It is the process of
identifying the user's
sentiment in input
text and determining
their objective.
 It's the first and most
important part of
NLU, as it establishes
the meaning of the
text.
Intent Recognition
Key Components Of Natural Language Understanding
Entity Recognition
 It is a specific type of
NLU that focuses on
identifying the
entities in a message
and then extracting
the most important
information about
those entities
 It is the process of
identifying the user's
sentiment in input
text and determining
their objective.
 It's the first and most
important part of
NLU, as it establishes
the meaning of the
text.

18. NLU is a subfield of
NLP , which plays a
vital role in the
development of
artificial
intelligence(AI) on
the chatbots.
Natural Language processing(NLP)

19. The ultimate goal of
NLP is to enable
computers to
understand, interpret,
and generate human
language in a way
that is both
meaningful and
contextually relevant.
Natural Language processing(NLP)

20. Where does NLP fit in the classification

21. Steps
Involved in
Natural
Language
Processing

23. Morphological
Analysis
Individual words are
analyzed into their
component and nonword
tokens. Punctuations are
separated from word
Eg: carried = carry + ed
Morphological Analysis

24. Syntactic
Analysis
Grammatical structure of
a sentence is being
analyzed and will be
rejected if it doesn’t follow
the standard rule.
Eg: ”The boy go the to
market”
Sentences like these will
be rejected.
Syntactic Analysis

25. semantic
Analysis
In the semantic analysis
the meaning of the
sentence will be analysed,
sentences which doesn’t
produce any meaning will
be removed.
Eg: “colourless green
ideas.” sentences like
these will be removed.
semantic Analysis

26. Pragmatic
Analysis
These software acquires
the knowledge by the
external logics and
support. These include the
commands we use to
search .
Eg: ”Do you know what
time it is?”
By analysing the term “do”
and “what ” system will
analyse it as a question.
Pragmatic Analysis

27. Why Natural language processing (NLP)
 NLP provides an advanced language
analysis and processing that allows
computers to make the unstructured
human language data readable by
machines.

28. Why Natural language processing (NLP)
 NLP breaks down natural language into a
machine-readable format and processes
language .