COMPONENTS
OF NLP
Tokenization
Stemming
Lemmatization
POS tag
Named Entity Recognition(NER)
Chunking
2
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
Lemmatization is an NLP technique used to reduce
words to their base or dictionary form (called a
lemma), while considering the context and part of
speech (POS).
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
POS Tagging (Part-of-Speech Tagging) is a process in
Natural Language Processing (NLP) where each
word in a sentence is labeled with its appropriate
part of speech, such as noun, verb, adjective, etc.,
based on both its definition and context.
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
Named Entity Recognition (NER) is a Natural Language
Processing (NLP) technique that identifies and classifies
named entities in text into predefined categories such as:
Person names (e.g., Elon Musk)
Organizations (e.g., NASA, Google)
Locations (e.g., India, Mount Everest)
Dates and Times (e.g., June 24, 2025)
Monetary values (e.g., $1 million)
THE POWER OF
COMMUNICATION
Named Entity Recognition (NER) is a Natural Language
Processing (NLP) technique that identifies and classifies
named entities in text into predefined categories such as:
Person names (e.g., Elon Musk)
Organizations (e.g., NASA, Google)
Locations (e.g., India, Mount Everest)
Dates and Times (e.g., June 24, 2025)
Monetary values (e.g., $1 million)
THE POWER OF
COMMUNICATION
Named Entity Recognition (NER) is a Natural Language
Processing (NLP) technique that identifies and classifies
named entities in text into predefined categories such as:
Person names (e.g., Elon Musk)
Organizations (e.g., NASA, Google)
Locations (e.g., India, Mount Everest)
Dates and Times (e.g., June 24, 2025)
Monetary values (e.g., $1 million)
THE POWER OF
COMMUNICATION
THE POWER OF
COMMUNICATION
Named Entity Recognition (NER) is a Natural Language
Processing (NLP) technique that identifies and classifies
named entities in text into predefined categories such as:
Person names (e.g., Elon Musk)
Organizations (e.g., NASA, Google)
Locations (e.g., India, Mount Everest)
Dates and Times (e.g., June 24, 2025)
Monetary values (e.g., $1 million)
THE POWER OF
COMMUNICATION
Named Entity Recognition (NER) is a Natural Language
Processing (NLP) technique that identifies and classifies
named entities in text into predefined categories such as:
Person names (e.g., Elon Musk)
Organizations (e.g., NASA, Google)
Locations (e.g., India, Mount Everest)
Dates and Times (e.g., June 24, 2025)
Monetary values (e.g., $1 million)
THE POWER OF
COMMUNICATION
Named Entity Recognition (NER) is a Natural Language
Processing (NLP) technique that identifies and classifies
named entities in text into predefined categories such as:
Person names (e.g., Elon Musk)
Organizations (e.g., NASA, Google)
Locations (e.g., India, Mount Everest)
Dates and Times (e.g., June 24, 2025)
Monetary values (e.g., $1 million)
NLTK (Natural Language Toolkit) is a Python library for processing
human language. It provides tools for tokenization, stemming,
lemmatization, POS tagging, and more. It’s widely used in text
analysis, chatbots, and educational NLP projects.

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