Natural Language Processing (NLP) enables computers to understand and derive meaning from human language. It encompasses techniques like automatic text summarization and sentiment analysis, and involves various components such as natural language understanding and generation. Key steps in NLP include lexical, syntactical, semantic, and pragmatic analysis.

1. Natural
Language
Processing

2. What is NLP ?
Natural Language Processing is
the ability of a computer
program to understand human
language as it is spoken.

3. Continue...
❏ NLP is the way for computers to analyze, understand and derive meaning from
human language in smart and useful way.
❏ Machine can understand how human speaks.
❏ Automatic text summarization, sentiment analysis, topic extraction, question
answering system, etc.

4. Few NLP Examples
● Cortana
● Siri
● Google Assistant
● Summarizer

5. Components
Of NLP
● Natural Language
Understanding
● Natural Language
Generation

6. NLU
● Lexical Ambiguity
● Syntactical Ambiguity
● Referential Ambiguity

7. Referential Ambiguity
MEERA went to GEETA and said ‘I am hungry’

8. NLG
● Text Planning
● Sentence Planning
● Text Realization

9. Disclosure Integration
Syntactic Analysis
Semantic Analysis
Lexical Analysis
Pragmatic Analysis
Steps Involved
In NLP

10. Lexical Analysis
● Divides paragraphs into sentences, phrases and words.

11. Syntactical Analysis
● Parsing of sentences - noun, verbs, adjectives etc.

12. Semantic Analysis
● Actual meaning of sentence
● E.g. ‘Bitter Sugar’

13. Disclosure Integration
● Context is checked
● Pervious history of the chat

14. Pragmatic Analysis
● Verify the correctness of meaning in the given context

15. Thank You!